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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. 11668
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    Explanations

    mentions of media coverage

    oai_token-act-pair · gpt-3.5-turbo

    references to media coverage

    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
     Sabha
    -0.74
    rir
    -0.72
     Tale
    -0.69
    entle
    -0.69
     slightest
    -0.68
    geries
    -0.65
    gery
    -0.64
    itialized
    -0.63
    batch
    -0.63
    RS
    -0.63
    POSITIVE LOGITS
     Coverage
    0.94
     coverage
    0.91
    verage
    0.78
     cov
    0.74
    abilities
    0.73
    aries
    0.72
    ages
    0.71
    orship
    0.69
     Journalists
    0.68
    airs
    0.64
    Activations Density 0.026%

    No Known Activations