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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. 11-RES-JB
    11. 842
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    Explanations

    mentions of hats

    oai_token-act-pair · gpt-3.5-turbo

    references to hats and associated concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Integ
    -0.68
    IVES
    -0.67
     MSM
    -0.63
     Impossible
    -0.60
     Snapdragon
    -0.58
    uality
    -0.58
    aughter
    -0.58
    theless
    -0.57
     msec
    -0.57
     abiding
    -0.56
    POSITIVE LOGITS
    chet
    1.77
    chery
    1.46
    ches
    1.20
    cher
    1.18
    glers
    1.13
    emark
    1.05
    pins
    1.02
    che
    1.00
    eless
    0.96
     tip
    0.95
    Activations Density 0.044%

    No Known Activations