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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. 15548
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    Explanations

    strings related to evaluating or assessment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to evaluation and assessment processes

    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
    hold
    -0.86
    fold
    -0.82
    birth
    -0.79
    fall
    -0.77
    feeding
    -0.75
    blue
    -0.73
    rough
    -0.70
    fast
    -0.70
    seed
    -0.69
    Lago
    -0.69
    POSITIVE LOGITS
     evaluations
    1.01
     evaluates
    0.99
    uations
    0.97
     evaluation
    0.95
    aution
    0.89
     appraisal
    0.85
    ments
    0.79
     evaluate
    0.77
     evaluating
    0.76
     criteria
    0.74
    Activations Density 0.013%

    No Known Activations