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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. 4971
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    INDEX
    Explanations

    references to specific organizations or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to the GL (Global) brand or organization

    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
    Not in Any Lists

    No Comments

    Negative Logits
    zynski
    -0.81
    doms
    -0.78
    icio
    -0.75
    stood
    -0.72
    ccoli
    -0.70
    fits
    -0.67
    rising
    -0.66
    pend
    -0.65
    chedel
    -0.64
    print
    -0.63
    POSITIVE LOGITS
    ength
    1.04
    TEXTURE
    0.86
     overflow
    0.76
    YP
    0.73
    INTON
    0.73
    ASS
    0.72
    opher
    0.72
    oad
    0.72
    asses
    0.71
    ibrary
    0.71
    Activations Density 0.037%

    No Known Activations