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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. 5282
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    Explanations

    phrases referencing specific programming languages, technologies, or concepts

    oai_token-act-pair · gpt-3.5-turbo

    repeated patterns of text or identifiers

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Chero
    -0.74
    stood
    -0.73
     Isles
    -0.66
    rouse
    -0.66
     Seym
    -0.61
     coasts
    -0.61
     stroke
    -0.57
    obbies
    -0.57
    stay
    -0.56
    sburg
    -0.56
    POSITIVE LOGITS
    rael
    1.09
    omorphic
    0.95
    senal
    0.94
    ometric
    0.91
    Offline
    0.84
    cussion
    0.84
    omorph
    0.83
     hereby
    0.83
     rated
    0.81
     deprecated
    0.79
    Activations Density 0.059%

    No Known Activations