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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 12988
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    Explanations

    code snippets related to database operations and queries

    oai_token-act-pair · gpt-3.5-turbo

    opening parentheses in a programming context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    olina
    -0.77
     Stro
    -0.71
     teasp
    -0.71
     Ingredients
    -0.70
    istle
    -0.70
     Electricity
    -0.69
     pastry
    -0.67
     whip
    -0.67
     whistle
    -0.65
     handc
    -0.65
    POSITIVE LOGITS
    src
    1.02
    ())
    0.93
    ...)
    0.90
    true
    0.88
    *)
    0.85
    ['
    0.85
    partial
    0.85
    false
    0.83
    function
    0.82
    checked
    0.82
    Activations Density 0.024%

    No Known Activations