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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. 6872
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    Explanations

    references to specific names, possibly in a political or governmental context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific dates or significant events

    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
     unnecess
    -0.88
     eleph
    -0.85
     Nay
    -0.82
     Aw
    -0.79
     Hung
    -0.75
     [*]
    -0.75
     Alm
    -0.74
    aum
    -0.73
     HUM
    -0.73
     thous
    -0.72
    POSITIVE LOGITS
    pen
    0.86
    di
    0.84
    jac
    0.83
    cop
    0.81
    pin
    0.80
    inline
    0.80
    itri
    0.80
    bro
    0.80
    stri
    0.80
    pter
    0.79
    Activations Density 0.307%

    No Known Activations