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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. 17000
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    INDEX
    Explanations

    words related to attraction, drawing, or pulling

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "drawn."

    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
    duc
    -0.75
    ership
    -0.74
     VIDEOS
    -0.73
    ican
    -0.70
    mma
    -0.67
    yrim
    -0.66
    gram
    -0.65
    olon
    -0.65
    ividual
    -0.64
    hal
    -0.63
    POSITIVE LOGITS
     drawn
    1.13
     Drawn
    0.94
     drawing
    0.77
    volt
    0.76
    GGGGGGGG
    0.74
    entious
    0.71
     Drawing
    0.68
    drawn
    0.66
    erie
    0.66
     aggro
    0.65
    Activations Density 0.013%

    No Known Activations