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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. 9-RES-JB
    11. 17342
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    INDEX
    Explanations

    dates and specific locations mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to time and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vantage
    -0.82
    uckland
    -0.71
    elly
    -0.71
    apest
    -0.68
    uties
    -0.64
    ogether
    -0.63
    :#
    -0.62
    itans
    -0.61
    ocker
    -0.61
    ateur
    -0.61
    POSITIVE LOGITS
    accompanied
    0.64
     announcing
    0.64
     reviewing
    0.63
     consultation
    0.62
     commem
    0.60
    athering
    0.58
    math
    0.58
     celebrating
    0.57
     accompanied
    0.57
     celebrations
    0.57
    Activations Density 0.275%

    No Known Activations