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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. 7323
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    Explanations

    verbs that indicate confirming or affirming actions or statements

    oai_token-act-pair · gpt-3.5-turbo

    language that indicates comparison or result-oriented conclusions

    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
     destro
    -0.73
     encount
    -0.70
     reluct
    -0.68
     streng
    -0.66
    FTWARE
    -0.64
     tyr
    -0.64
    issance
    -0.62
    ricular
    -0.62
     afore
    -0.62
    olesc
    -0.60
    POSITIVE LOGITS
    ingly
    0.90
    ings
    0.81
     themselves
    0.77
    eth
    0.69
    ilies
    0.68
    adelphia
    0.67
    fully
    0.67
     Hitchcock
    0.64
    bits
    0.62
    ously
    0.62
    Activations Density 0.592%

    No Known Activations