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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. 21053
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    INDEX
    Explanations

    phrases related to physical features, particularly eyebrows

    oai_token-act-pair · gpt-3.5-turbo

    references to eyebrows and brow features

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    Benz
    -0.74
    Published
    -0.68
    ivity
    -0.68
    ãĥ´
    -0.65
     Mono
    -0.65
     Vide
    -0.64
     horm
    -0.63
    Me
    -0.62
    IUM
    -0.61
    Polit
    -0.61
    POSITIVE LOGITS
     eyebrows
    1.26
     eyebrow
    1.16
     brow
    1.06
    beard
    0.84
     wrinkles
    0.83
     hairs
    0.82
     quir
    0.79
     hair
    0.78
    rows
    0.77
     mustache
    0.77
    Activations Density 0.007%

    No Known Activations