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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. 11-RES-JB
    11. 12258
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    Explanations

    actions or events that occur after a specific trigger or situation

    oai_token-act-pair · gpt-3.5-turbo

    actions occurring in the context of sequential or iterative processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unless
    -0.76
     unless
    -0.74
    next
    -0.68
    ¯
    -0.66
    pg
    -0.66
    tu
    -0.66
    cause
    -0.65
    *****
    -0.61
    NG
    -0.61
    yout
    -0.60
    POSITIVE LOGITS
     assurances
    0.87
     unsuccessful
    0.82
     unsuccessfully
    0.80
    ©¶æ
    0.78
     countless
    0.76
     numerous
    0.74
     several
    0.72
     pains
    0.72
    undreds
    0.69
     exhaustive
    0.66
    Activations Density 0.227%

    No Known Activations