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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. 4-RES-JB
    11. 10089
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    Explanations

    phrases or sentences that emphasize the importance of certain actions or considerations

    oai_token-act-pair · gpt-3.5-turbo

    statements emphasizing the significance or necessity of various actions or considerations

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

    No Comments

    Negative Logits
     Carbuncle
    -0.75
    Beck
    -0.68
    terness
    -0.66
    bow
    -0.66
    eb
    -0.64
    á
    -0.63
     brim
    -0.63
    grown
    -0.63
     Fever
    -0.62
    bows
    -0.62
    POSITIVE LOGITS
     enough
    0.79
     contextual
    0.75
    icult
    0.69
    allery
    0.67
    terday
    0.66
     distingu
    0.66
    anyl
    0.66
    Marginal
    0.64
     ancest
    0.63
     deadlines
    0.62
    Activations Density 0.035%

    No Known Activations