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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. 10-RES-JB
    11. 8237
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    Explanations

    specific mentions of locations or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the" in various contexts throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.91
     namely
    -0.81
    ItemImage
    -0.76
    ItemThumbnailImage
    -0.75
    humans
    -0.74
    lessness
    -0.73
    LESS
    -0.73
    venture
    -0.69
     suppose
    -0.68
    ISON
    -0.67
    POSITIVE LOGITS
     sidelines
    1.34
     shores
    1.21
     podium
    1.18
     skies
    1.17
     rooft
    1.15
     roofs
    1.11
     streets
    1.10
     edges
    1.09
     halls
    1.08
     doorway
    1.07
    Activations Density 0.275%

    No Known Activations