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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. 1058
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    INDEX
    Explanations

    adjectives indicating a strong and noticeable contrast

    oai_token-act-pair · gpt-3.5-turbo

    references to significant contrasts or inequalities

    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
    sembly
    -0.70
    idences
    -0.70
    uthor
    -0.69
    ipop
    -0.69
    uly
    -0.68
    adian
    -0.67
    ITIES
    -0.64
    aceae
    -0.63
    ceed
    -0.63
    hops
    -0.63
    POSITIVE LOGITS
    ly
    0.98
     stark
    0.93
     contrast
    0.90
     contrasts
    0.89
     naked
    0.75
     contrad
    0.72
    eful
    0.72
    oire
    0.72
     inequalities
    0.71
    geon
    0.71
    Activations Density 0.066%

    No Known Activations