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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. 3-RES-JB
    11. 12685
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    INDEX
    Explanations

    names of people or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names associated with specific individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.92
    hesive
    -0.69
    llular
    -0.68
    gow
    -0.68
    berman
    -0.68
    umenthal
    -0.68
     distinguishing
    -0.67
     trooper
    -0.65
     curric
    -0.65
     detachment
    -0.64
    POSITIVE LOGITS
    ienne
    0.97
    ENTS
    0.93
    iane
    0.93
    isions
    0.91
     Viv
    0.90
    itized
    0.85
    ISION
    0.82
    itar
    0.82
    ERY
    0.81
    aldi
    0.81
    Activations Density 0.019%

    No Known Activations