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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. 9-RES-JB
    11. 6955
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    INDEX
    Explanations

    phrases indicating competitive matchups or comparisons

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases involving matchups or competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.77
     liner
    -0.73
    bean
    -0.67
     ancest
    -0.66
    regon
    -0.65
    beans
    -0.64
     sensit
    -0.63
    borgh
    -0.60
     bearings
    -0.59
     evenings
    -0.59
    POSITIVE LOGITS
    .,
    1.09
    .:
    0.84
    .?
    0.83
    .;
    0.82
    .-
    0.79
    .,"
    0.76
    creen
    0.70
    .—
    0.67
    ./
    0.66
     Peace
    0.65
    Activations Density 0.020%

    No Known Activations