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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. 21494
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    Explanations

    mentions of specific topics or elements within a longer text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific topics or themes in discussions

    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
     Sr
    -0.59
    Oracle
    -0.57
    thouse
    -0.57
    nw
    -0.56
    onential
    -0.56
     Berm
    -0.54
    imum
    -0.53
    Flag
    -0.53
    cca
    -0.52
    erion
    -0.51
    POSITIVE LOGITS
     misconceptions
    0.69
    etz
    0.66
     aspect
    0.64
     misconception
    0.63
     disappearing
    0.61
     pecul
    0.61
     specifics
    0.59
     being
    0.59
     spoilers
    0.58
    ocious
    0.58
    Activations Density 0.759%

    No Known Activations