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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. 9-RES-JB
    11. 3641
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    Explanations

    information related to a movie or franchise named "Fast and Furious"

    oai_token-act-pair · gpt-3.5-turbo

    connections and references to specific titles or works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.70
    holes
    -0.66
     veins
    -0.64
    properties
    -0.63
    xus
    -0.63
    zona
    -0.62
     Obj
    -0.62
    Topics
    -0.62
    hole
    -0.61
    yg
    -0.60
    POSITIVE LOGITS
     Furious
    0.81
    cially
    0.74
    tein
    0.71
     Ferry
    0.67
    ente
    0.64
    ulation
    0.61
    Sax
    0.61
     Clyde
    0.61
    ãĥ¡
    0.60
    ruary
    0.59
    Activations Density 0.275%

    No Known Activations