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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. 8-RES-JB
    11. 11221
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    Explanations

    percentages or numerical values

    oai_token-act-pair · gpt-3.5-turbo

    references to percentages and statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Leilan
    -0.64
     lavish
    -0.59
    usage
    -0.58
    lain
    -0.57
     Loft
    -0.57
    Public
    -0.57
    esting
    -0.56
    iveness
    -0.55
     lax
    -0.55
    inelli
    -0.54
    POSITIVE LOGITS
     points
    0.95
    point
    0.81
    Points
    0.79
    points
    0.78
     Points
    0.76
    ©
    0.74
    pees
    0.74
     pointers
    0.74
     point
    0.73
    undred
    0.72
    Activations Density 0.050%

    No Known Activations