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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. 24415
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    Explanations

    names of movies or events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to video game statistics and releases

    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
    gm
    -0.61
    cel
    -0.59
    yout
    -0.58
    ym
    -0.56
     masc
    -0.56
    transform
    -0.55
    rahim
    -0.55
    Bey
    -0.54
     autom
    -0.54
    imo
    -0.53
    POSITIVE LOGITS
    escription
    0.69
     Various
    0.63
     Extras
    0.63
     Advice
    0.61
     Runtime
    0.60
     Located
    0.60
     cf
    0.58
     Includes
    0.57
     Folder
    0.57
     Annotations
    0.57
    Activations Density 0.488%

    No Known Activations