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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. 194
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    percentages and statistical data

    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
    bley
    -0.79
     brace
    -0.73
     shaped
    -0.70
     showc
    -0.70
     satell
    -0.69
     compan
    -0.69
     toget
    -0.68
     dwar
    -0.67
     mathemat
    -0.66
     tremend
    -0.65
    POSITIVE LOGITS
     Discuss
    0.76
     Decay
    0.70
     Judd
    0.68
     Languages
    0.68
     Hig
    0.66
     ABV
    0.66
     ----------------------------------------------------------------
    0.65
    steamapps
    0.65
     Other
    0.65
     TOTAL
    0.63
    Activations Density 0.041%

    No Known Activations