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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. 7-RES-JB
    11. 11810
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    Explanations

    words related to facial features, particularly the jaw and eyebrows

    oai_token-act-pair · gpt-3.5-turbo

    mentions of facial features, particularly jaws and eyebrows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hesis
    -0.69
    istant
    -0.67
     Blackwell
    -0.64
    FORM
    -0.63
     Investors
    -0.61
     Holo
    -0.61
    cible
    -0.61
     Archangel
    -0.60
     Spaces
    -0.60
    ña
    -0.60
    POSITIVE LOGITS
    bones
    1.31
    bone
    1.24
    Bone
    0.87
     brow
    0.83
     bone
    0.83
    dropping
    0.78
    doms
    0.78
    dro
    0.77
     bones
    0.76
    sed
    0.75
    Activations Density 0.028%

    No Known Activations