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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. 4-RES-JB
    11. 10305
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    Explanations

    color-related terms

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly parentheses and their usage in context

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

    No Comments

    Negative Logits
    worldly
    -0.64
    rosis
    -0.63
    asha
    -0.63
    ton
    -0.61
    rogen
    -0.61
    rogens
    -0.61
    TON
    -0.60
    ez
    -0.60
    Thumbnail
    -0.59
    hunt
    -0.58
    POSITIVE LOGITS
     meanwhile
    0.68
     namely
    0.67
     nevertheless
    0.66
    775
    0.65
     preferring
    0.63
     however
    0.63
    Aust
    0.62
     Flavoring
    0.62
    agascar
    0.61
     nonetheless
    0.59
    Activations Density 0.057%

    No Known Activations