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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. 5025
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    Explanations

    actions related to forceful impact or attack

    oai_token-act-pair · gpt-3.5-turbo

    words related to violent or forceful actions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.82
    otype
    -0.81
    ItemImage
    -0.73
    inent
    -0.71
     Lauder
    -0.69
    respect
    -0.65
    arent
    -0.65
    abet
    -0.65
    isans
    -0.65
     Photographer
    -0.64
    POSITIVE LOGITS
     brakes
    0.94
    lished
    0.87
     elbows
    0.84
     down
    0.83
     shut
    0.82
     dunk
    0.81
     fists
    0.81
    down
    0.81
     into
    0.81
     INTO
    0.80
    Activations Density 0.045%

    No Known Activations