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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. 5412
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    Explanations

    drugs categorized as Schedule I substances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to classifications and schedules of substances and entities

    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
    erv
    -0.68
    creen
    -0.63
    ming
    -0.61
    natureconservancy
    -0.60
    izabeth
    -0.59
    hum
    -0.58
    pace
    -0.58
    pin
    -0.57
    pi
    -0.57
    itations
    -0.57
    POSITIVE LOGITS
     XII
    1.09
     III
    1.06
     VIII
    1.04
     VII
    1.03
     XIII
    0.97
     Nine
    0.97
     4
    0.94
     7
    0.94
     8
    0.93
     IV
    0.93
    Activations Density 0.132%

    No Known Activations