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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. 3-RES-JB
    11. 18139
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    INDEX
    Explanations

    references to looking or focusing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to visual attention and perception

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rition
    -0.73
    ity
    -0.67
    olog
    -0.67
    official
    -0.65
    eways
    -0.65
    icum
    -0.64
    sie
    -0.63
    cers
    -0.63
    imony
    -0.63
     Carnegie
    -0.63
    POSITIVE LOGITS
     gaze
    1.13
     gazing
    0.79
    ··
    0.76
     largeDownload
    0.74
    enance
    0.71
     beh
    0.71
    bilt
    0.71
     cursor
    0.68
    naire
    0.68
     Coffin
    0.68
    Activations Density 0.018%

    No Known Activations