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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. 11-RES-JB
    11. 12594
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    INDEX
    Explanations

    quantities or frequencies expressed in "per"

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating frequency or quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anamo
    -0.73
    avascript
    -0.72
    alth
    -0.71
    arden
    -0.70
    Downloadha
    -0.68
    abl
    -0.68
    pots
    -0.68
    abilities
    -0.66
    Bs
    -0.66
    hess
    -0.66
    POSITIVE LOGITS
    tains
    1.28
     capita
    1.20
     minute
    1.18
     hour
    1.16
     month
    1.14
    malink
    1.07
     person
    1.07
    tained
    1.06
     kilomet
    1.05
     mile
    1.04
    Activations Density 0.034%

    No Known Activations