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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. 6170
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    Explanations

    the word "nap"

    oai_token-act-pair · gpt-3.5-turbo

    references to meals or food-related activities

    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
    vez
    -0.83
    leys
    -0.81
    bred
    -0.76
    iosity
    -0.74
    lev
    -0.71
    bite
    -0.70
    ifted
    -0.68
    Import
    -0.67
    Interstitial
    -0.67
    done
    -0.67
    POSITIVE LOGITS
    oleon
    1.18
    emonic
    0.85
    nesday
    0.82
    alm
    0.79
    etsk
    0.75
    olitan
    0.74
    asta
    0.74
    puter
    0.73
    zsche
    0.72
     nap
    0.72
    Activations Density 0.019%

    No Known Activations