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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. 1149
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    INDEX
    Explanations

    proper nouns and names, specifically including names of places, individuals, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    specific cultural references or notable places

    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
     Accountability
    -0.94
     Applicant
    -0.82
     Disclosure
    -0.79
     Own
    -0.79
     Yard
    -0.78
     Instr
    -0.78
     Heard
    -0.77
     Expend
    -0.76
     Lines
    -0.76
     Opportun
    -0.75
    POSITIVE LOGITS
    ensis
    1.18
    @
    0.88
    acters
    0.81
    azine
    0.79
    ously
    0.77
    ocious
    0.77
    Äĵ
    0.76
    coon
    0.75
    iae
    0.73
    id
    0.73
    Activations Density 0.431%

    No Known Activations