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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. 0-RES-JB
    11. 10468
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    Explanations

    lines of text specifying online presence

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific title or line in a script or text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anas
    -0.73
     corrective
    -0.66
    ific
    -0.66
    aph
    -0.66
     Ares
    -0.66
     Creed
    -0.66
     antid
    -0.66
    cha
    -0.65
    pose
    -0.65
    cher
    -0.65
    POSITIVE LOGITS
    LINE
    4.38
    LIN
    2.39
    Line
    1.48
     LINE
    1.28
    lined
    0.96
    FIELD
    0.95
    LI
    0.91
    IDENT
    0.90
    MEN
    0.88
    lines
    0.88
    Activations Density 0.054%

    No Known Activations