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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. 9-RES-JB
    11. 7535
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    Explanations

    mentions of critiquing or criticism

    oai_token-act-pair · gpt-3.5-turbo

    references or mentions of critiques and criticism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orthy
    -0.76
    loo
    -0.69
     Aad
    -0.69
    velt
    -0.67
     Mandela
    -0.64
     Patent
    -0.64
     Permanent
    -0.63
    noon
    -0.63
     Petty
    -0.62
     Argent
    -0.61
    POSITIVE LOGITS
    erion
    1.45
    ique
    1.34
    iques
    1.30
    icism
    1.23
    iqu
    1.17
    eria
    1.06
    ters
    1.00
    ically
    0.99
    ter
    0.90
    icals
    0.87
    Activations Density 0.041%

    No Known Activations