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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. 4516
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    Explanations

    references to randomness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words related to randomness and probabilistic concepts

    oai_token-act-pair · gpt-3.5-turbo
    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
    ports
    -0.78
    gur
    -0.78
    wark
    -0.78
    PRO
    -0.73
    ModLoader
    -0.71
    plom
    -0.70
    REM
    -0.68
    POST
    -0.67
    ournal
    -0.67
    orea
    -0.66
    POSITIVE LOGITS
    ised
    1.19
     assortment
    1.19
    izer
    1.12
    ization
    1.04
    izers
    1.02
    izing
    0.99
    izable
    0.99
    isation
    0.98
    isable
    0.96
    ized
    0.96
    Activations Density 0.037%

    No Known Activations