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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. 7-RES-JB
    11. 18828
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    INDEX
    Explanations

    mentions of law schools or legal professions

    oai_token-act-pair · gpt-3.5-turbo

    references to law schools and legal education

    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
    ACTED
    -0.71
    emonic
    -0.69
     awa
    -0.69
     degrading
    -0.64
     retina
    -0.63
     Carbuncle
    -0.61
    atomic
    -0.61
    ibilities
    -0.61
    tur
    -0.61
     sqor
    -0.60
    POSITIVE LOGITS
    yer
    1.59
    suit
    1.42
    suits
    1.38
    yers
    1.35
    rence
    1.14
    makers
    1.13
     Enforcement
    1.08
    rences
    0.98
    lessness
    0.95
    maker
    0.95
    Activations Density 0.039%

    No Known Activations