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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. 5261
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    INDEX
    Explanations

    words related to pivotal or central aspects or figures

    oai_token-act-pair · gpt-3.5-turbo

    references to the main elements or characters in various contexts

    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
    uracy
    -0.75
     Leone
    -0.67
    each
    -0.67
    ï¸
    -0.64
     Seconds
    -0.64
    utics
    -0.64
    ilk
    -0.64
    AUT
    -0.64
    ornings
    -0.63
    lyak
    -0.62
    POSITIVE LOGITS
    stay
    1.62
    tenance
    1.24
     artery
    1.05
     arteries
    1.04
    frame
    0.98
    deck
    0.97
     culprit
    0.93
    stream
    0.89
    board
    0.87
     tenets
    0.86
    Activations Density 0.031%

    No Known Activations