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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. 3-RES-JB
    11. 17178
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    content related to visual elements

    oai_token-act-pair · gpt-3.5-turbo

    references to visual elements and qualities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    doms
    -0.82
    unin
    -0.78
    renheit
    -0.77
    uddin
    -0.76
    KEN
    -0.74
    isSpecialOrderable
    -0.74
    perty
    -0.73
    quist
    -0.70
    rifice
    -0.69
    kson
    -0.69
    POSITIVE LOGITS
    izations
    1.16
    isations
    1.16
    ized
    1.05
    izer
    0.98
    isation
    0.97
    izing
    0.96
    izable
    0.93
    izers
    0.90
     representation
    0.90
    ization
    0.89
    Activations Density 0.013%

    No Known Activations