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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. 14726
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    Explanations

    numeric identifiers such as version numbers and dates

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical references and identifiers

    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
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    Negative Logits
    awaru
    -0.84
    rolet
    -0.76
    orically
    -0.66
    furt
    -0.63
    romeda
    -0.62
    staking
    -0.62
    amen
    -0.61
    icularly
    -0.61
    ophical
    -0.60
    hold
    -0.60
    POSITIVE LOGITS
    Ħ¢
    0.83
    ÃĹ
    0.78
    rd
    0.71
    ½
    0.70
    nd
    0.70
    +,
    0.67
    ouver
    0.64
    010
    0.63
     Zup
    0.63
    XL
    0.62
    Activations Density 0.140%

    No Known Activations