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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. 11693
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    Explanations

    phrases related to thickness

    oai_token-act-pair · gpt-3.5-turbo

    references to thickness, particularly in physical contexts

    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
    hop
    -0.68
     Particip
    -0.67
    rent
    -0.65
    holm
    -0.65
    uel
    -0.64
    vale
    -0.63
    rieve
    -0.63
     Unlock
    -0.63
    via
    -0.62
    UTC
    -0.62
    POSITIVE LOGITS
     thick
    3.57
     thicker
    2.34
     Thick
    2.23
     thin
    2.01
     thickness
    1.91
     thinner
    1.76
     dense
    1.71
     tall
    1.29
     Thin
    1.27
    thin
    1.22
    Activations Density 0.016%

    No Known Activations