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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. 7-RES-JB
    11. 3787
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    INDEX
    Explanations

    phrases related to location, movement, and strategic positioning

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions that indicate relationships or connections in a statement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wic
    -0.87
    HI
    -0.84
    Favorite
    -0.82
    Morning
    -0.75
     Weekly
    -0.74
    uct
    -0.72
    anu
    -0.72
    uh
    -0.71
    UGH
    -0.70
    FINE
    -0.69
    POSITIVE LOGITS
     consequently
    0.93
     therefore
    0.90
     hence
    0.90
     replaced
    0.80
     thus
    0.79
     redistributed
    0.77
     pandemonium
    0.73
     consequ
    0.72
     moreover
    0.71
     thereby
    0.70
    Activations Density 0.283%

    No Known Activations