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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. 2922
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    INDEX
    Explanations

    statements that mention multiple entities or concepts together

    oai_token-act-pair · gpt-3.5-turbo

    references to sports or athletics

    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
    ricular
    -0.74
    earchers
    -0.69
     aval
    -0.69
     unemploy
    -0.65
    tsy
    -0.65
    ingen
    -0.63
    Associated
    -0.61
     rapp
    -0.59
    eli
    -0.59
    inous
    -0.57
    POSITIVE LOGITS
     Both
    2.11
    Both
    2.02
     Neither
    1.66
     respectively
    1.60
     both
    1.56
    both
    1.51
    Neither
    1.50
     latter
    1.50
     neither
    1.34
     Either
    1.24
    Activations Density 1.178%

    No Known Activations