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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. 0-RES-JB
    11. 2789
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to leagues and religious figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     throttle
    -0.90
     chassis
    -0.72
     thrott
    -0.69
     tape
    -0.68
     tapes
    -0.65
     Sussex
    -0.63
     diff
    -0.63
     smoother
    -0.63
     tur
    -0.61
     emitting
    -0.61
    POSITIVE LOGITS
    lig
    3.41
    agues
    1.72
    llah
    1.24
    ollah
    1.15
    goers
    1.15
    lement
    1.00
    lements
    0.99
    lah
    0.95
     cohort
    0.85
    medi
    0.84
    Activations Density 0.024%

    No Known Activations