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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. 4-RES-JB
    11. 5097
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    Explanations

    words related to intensity or strong emotions

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with intensity and struggle

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

    No Comments

    Negative Logits
    uthor
    -0.90
    LCS
    -0.87
    pta
    -0.80
    iquid
    -0.78
    iture
    -0.72
    ERC
    -0.71
    ovember
    -0.69
    ublic
    -0.69
    rophe
    -0.68
    otation
    -0.67
    POSITIVE LOGITS
     grit
    0.85
    bred
    0.76
    fare
    0.73
    ITH
    0.70
     shar
    0.70
     humane
    0.69
    orously
    0.68
    uay
    0.68
     grind
    0.67
    xxxx
    0.67
    Activations Density 0.034%

    No Known Activations