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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. 1-RES-JB
    11. 16089
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    Explanations

    references to individuals in professional or skilled roles

    oai_token-act-pair · gpt-3.5-turbo

    references to practitioners and proponents of various fields

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bor
    -0.79
     redes
    -0.73
     Indust
    -0.72
    illet
    -0.71
    oÄŁ
    -0.67
    mine
    -0.64
     Bom
    -0.62
     Alps
    -0.61
    izons
    -0.61
     Doors
    -0.59
    POSITIVE LOGITS
     proponents
    1.03
     practitioners
    0.95
     proponent
    0.95
    ĸļ
    0.89
    itative
    0.82
    onents
    0.78
    notations
    0.77
     believer
    0.76
    lectic
    0.75
     practitioner
    0.74
    Activations Density 0.021%

    No Known Activations