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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. 2-RES-JB
    11. 8193
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    Explanations

    mentions of physical actions related to quick movements like 'whip'

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADRA
    -0.76
    ccording
    -0.72
     Grateful
    -0.71
    cknow
    -0.69
    Fort
    -0.69
    iquette
    -0.67
    ulia
    -0.67
    thia
    -0.67
    kson
    -0.66
    negie
    -0.65
    POSITIVE LOGITS
     whip
    1.29
     whipping
    1.26
     Whip
    0.95
     whipped
    0.93
    otine
    0.84
    toe
    0.82
    boarding
    0.80
     stitch
    0.78
    ings
    0.78
    sticks
    0.77
    Activations Density 0.011%

    No Known Activations