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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. 17977
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    Explanations

    specific locations or settings

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or places

    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
    icer
    -0.82
    olyn
    -0.70
    quel
    -0.67
    onder
    -0.67
     QUEST
    -0.67
    icism
    -0.63
    TAG
    -0.63
    &&
    -0.63
    irst
    -0.62
     Magnum
    -0.61
    POSITIVE LOGITS
    bos
    1.15
    holders
    0.99
     where
    0.83
    holder
    0.83
    upon
    0.80
    abouts
    0.79
    Else
    0.78
     else
    0.77
     holder
    0.71
     frequ
    0.67
    Activations Density 0.041%

    No Known Activations