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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. 18121
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    Explanations

    words or phrases indicating conditions, requirements, or specific circumstances that lead to particular outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases or constructions that indicate a state of being or identity

    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
    luaj
    -0.85
    bies
    -0.72
    inav
    -0.67
    ctive
    -0.64
    pmwiki
    -0.64
    artney
    -0.62
    kson
    -0.61
    viks
    -0.61
    actory
    -0.61
    icago
    -0.59
    POSITIVE LOGITS
     until
    0.79
     why
    0.76
    ĺħ
    0.75
     unless
    0.74
     indeed
    0.72
     evidenced
    0.69
     Purg
    0.67
    until
    0.67
     assuming
    0.65
    nt
    0.62
    Activations Density 0.073%

    No Known Activations