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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. 1-RES-JB
    11. 7252
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    Explanations

    terms related to physical activities involving movement in a structured manner

    oai_token-act-pair · gpt-3.5-turbo

    terms related to organized physical activity or social movements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    list
    -0.75
    ning
    -0.74
    xual
    -0.72
    ioned
    -0.72
     Door
    -0.71
    hood
    -0.70
    ion
    -0.70
    edited
    -0.69
    chain
    -0.68
    Jar
    -0.66
    POSITIVE LOGITS
    astics
    1.07
     gymn
    1.02
    bands
    1.00
     actionGroup
    0.81
    wcsstore
    0.80
     bands
    0.79
    ichick
    0.77
    keyes
    0.75
    åŃ
    0.73
    obiles
    0.73
    Activations Density 0.016%

    No Known Activations