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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. 8678
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    additional information details

    oai_token-act-pair · gpt-3.5-turbo

    references to additional information or resources

    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
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    No Comments

    Negative Logits
    FontSize
    -0.76
    bey
    -0.69
    gd
    -0.69
    isen
    -0.66
    gger
    -0.65
    tom
    -0.63
    inals
    -0.63
    later
    -0.60
    medi
    -0.60
    itals
    -0.60
    POSITIVE LOGITS
     refres
    0.86
     sake
    0.75
     avoidance
    0.74
     information
    0.74
     purposes
    0.71
     adventurous
    0.69
    usalem
    0.68
     rundown
    0.66
     INFORMATION
    0.66
     tips
    0.66
    Activations Density 0.084%

    No Known Activations