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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 1983
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    Explanations

    the concept of events occurring regularly or continuously in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases about events occurring frequently across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ebted
    -0.77
    ngth
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    hirt
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    ioch
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     endorsements
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    ielding
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    thood
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     endors
    -0.65
     helm
    -0.64
     resists
    -0.63
    POSITIVE LOGITS
     millisec
    0.75
     Huck
    0.74
     UTC
    0.73
     milliseconds
    0.72
    ï¸
    0.70
     Ukrain
    0.68
    GMT
    0.67
    actly
    0.66
     differently
    0.66
     Chern
    0.64
    Activations Density 0.382%

    No Known Activations