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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. 9-RES-JB
    11. 2276
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    Explanations

    verbs related to physical actions or movements

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to squeezing, clawing, or extracting something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Benz
    -0.78
    assetsadobe
    -0.68
    ItemImage
    -0.67
    oppable
    -0.66
    externalActionCode
    -0.66
    AAF
    -0.64
    Demand
    -0.64
    âĶĢâĶĢâĶĢâĶĢ
    -0.62
    Dispatch
    -0.62
    Hug
    -0.62
    POSITIVE LOGITS
     holes
    0.92
    away
    0.90
     marrow
    0.88
     away
    0.79
    paste
    0.78
     closure
    0.76
     slices
    0.73
     juice
    0.72
     openings
    0.71
     edges
    0.71
    Activations Density 0.374%

    No Known Activations