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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. 3-RES-JB
    11. 22962
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    INDEX
    Explanations

    descriptions of physical appearances, specifically eye colors

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of physical attributes and colors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    matically
    -0.76
    igious
    -0.75
     Mub
    -0.74
    bably
    -0.73
     conclud
    -0.73
    «ĺ
    -0.71
     deductible
    -0.70
    icipated
    -0.68
    ONSORED
    -0.67
    ealous
    -0.66
    POSITIVE LOGITS
    Medium
    0.75
    cloth
    0.74
    medium
    0.73
    cro
    0.69
     protr
    0.68
    Sl
    0.67
    bour
    0.67
    hy
    0.65
     Blend
    0.65
     envelop
    0.64
    Activations Density 1.167%

    No Known Activations