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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 20076
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    Explanations

    the initials "SI" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the abbreviation "SI" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lessly
    -0.73
    killer
    -0.70
    score
    -0.69
    raising
    -0.68
    stage
    -0.68
    places
    -0.68
    chains
    -0.67
    actionDate
    -0.67
    rals
    -0.66
    spread
    -0.66
    POSITIVE LOGITS
    pler
    0.88
    adoes
    0.79
    zona
    0.73
    avage
    0.71
    pling
    0.71
    UE
    0.71
    uous
    0.70
    OLOG
    0.69
    obar
    0.68
     Appendix
    0.68
    Activations Density 0.036%

    No Known Activations