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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. 15442
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    Explanations

    references to legal statutes or laws

    oai_token-act-pair · gpt-3.5-turbo

    references to statistics or data-related terms

    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
    ¿½
    -0.84
     RIS
    -0.80
     Seasons
    -0.72
    schild
    -0.69
    intosh
    -0.67
    kay
    -0.66
    bye
    -0.66
     tasting
    -0.66
    far
    -0.66
    Ļ½
    -0.65
    POSITIVE LOGITS
    ements
    1.20
    utory
    1.08
    istically
    1.05
    istical
    1.05
    olith
    0.99
    uary
    0.97
    ikk
    0.97
     Stat
    0.90
    ograph
    0.89
    uses
    0.89
    Activations Density 0.006%

    No Known Activations