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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. 7062
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    Explanations

    words related to technical aspects or requirements

    oai_token-act-pair · gpt-3.5-turbo

    references to technical aspects or issues

    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
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    Negative Logits
    velt
    -0.81
    stellar
    -0.80
    lein
    -0.68
    rage
    -0.68
    lain
    -0.68
     Cele
    -0.67
     Sheen
    -0.66
    naire
    -0.66
    borough
    -0.65
    tsky
    -0.65
    POSITIVE LOGITS
    ities
    1.03
    ity
    1.01
     specifications
    0.97
    iencies
    0.97
     feasibility
    0.93
     difficulties
    0.93
     proficiency
    0.89
     specs
    0.86
     prowess
    0.85
     jargon
    0.85
    Activations Density 0.043%

    No Known Activations