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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. 12070
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    INDEX
    Explanations

    mentions of "drop"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "drop" and its variants, which are related to decreases or sudden changes

    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
    paio
    -0.93
    gregation
    -0.77
    ancial
    -0.72
    aldo
    -0.72
    ItemTracker
    -0.70
    eur
    -0.69
    REM
    -0.68
    apo
    -0.68
     Gutenberg
    -0.68
    riors
    -0.67
    POSITIVE LOGITS
    kick
    0.97
    down
    0.95
    downs
    0.93
    phrine
    0.91
     downed
    0.86
    bows
    0.84
     jaws
    0.81
    lights
    0.81
    drop
    0.80
    outs
    0.79
    Activations Density 0.013%

    No Known Activations