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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. 11-RES-JB
    11. 11803
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    Explanations

    numerical ranges or variations

    oai_token-act-pair · gpt-3.5-turbo

    references to varying degrees or scope of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rics
    -0.62
     Ing
    -0.61
    BUS
    -0.61
     pulp
    -0.61
    Row
    -0.60
     hoc
    -0.59
     Row
    -0.58
    mitted
    -0.57
     Junk
    -0.56
    WN
    -0.55
    POSITIVE LOGITS
    finder
    1.43
     Rover
    1.07
    ranging
    0.83
    omorph
    0.74
    finding
    0.73
    find
    0.71
    ollah
    0.71
     ranges
    0.69
    seeing
    0.68
    range
    0.68
    Activations Density 0.053%

    No Known Activations