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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. 11-RES-JB
    11. 5550
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    INDEX
    Explanations

    phrases indicating high importance or impact

    oai_token-act-pair · gpt-3.5-turbo

    use of punctuation and transitions in conveying significant points or conclusions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iami
    -0.73
    aido
    -0.70
    eva
    -0.68
    irie
    -0.65
    Ń·
    -0.64
    rosse
    -0.62
    roid
    -0.61
    uay
    -0.61
    thood
    -0.60
    »Ĵ
    -0.60
    POSITIVE LOGITS
     especially
    0.99
    especially
    0.98
    particularly
    0.92
     fraught
    0.90
     insofar
    0.90
     because
    0.88
     particularly
    0.88
     exacerbated
    0.84
     akin
    0.83
    because
    0.83
    Activations Density 0.256%

    No Known Activations