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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 21205
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    INDEX
    Explanations

    verbs related to observation and decision-making

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "and" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ENCY
    -0.76
    天
    -0.70
    BAT
    -0.69
    Shut
    -0.69
    !--
    -0.64
    FOR
    -0.63
    endo
    -0.63
    LOS
    -0.63
    SI
    -0.62
    apo
    -0.62
    POSITIVE LOGITS
     evaluate
    0.97
     analyse
    0.96
     analyze
    0.94
     evaluating
    0.92
     discern
    0.91
     determine
    0.88
     concluded
    0.85
     assessing
    0.85
     analyzing
    0.85
     analysed
    0.84
    Activations Density 0.381%

    No Known Activations