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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. 6-RES-JB
    11. 18960
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    INDEX
    Explanations

    organizations, such as newspapers and sports teams, based on specific mentions

    oai_token-act-pair · gpt-3.5-turbo

    references to news headlines or article titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    pill
    -0.78
     redes
    -0.76
    kok
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     scen
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     horm
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    halla
    -0.67
    inson
    -0.67
    EStream
    -0.66
     favour
    -0.66
    bda
    -0.65
    POSITIVE LOGITS
    Contribut
    0.83
    Buy
    0.82
    illed
    0.78
    Park
    0.76
     Tribune
    0.74
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    0.71
    ija
    0.69
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    Jim
    0.68
    ONSORED
    0.68
    Activations Density 0.047%

    No Known Activations