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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. 980
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    Explanations

    words related to fringe or extreme situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "fr"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    LER
    -0.75
     FTA
    -0.69
     recorder
    -0.66
    LESS
    -0.63
    geist
    -0.62
     dece
    -0.62
    WARE
    -0.62
    DOWN
    -0.62
     Rutherford
    -0.58
    peat
    -0.57
    POSITIVE LOGITS
    atern
    1.39
    inges
    1.31
    aternal
    1.28
    isson
    1.23
    iday
    1.16
    umpy
    1.14
    isky
    1.13
    acas
    1.12
    ayed
    1.10
    ictional
    1.09
    Activations Density 0.013%

    No Known Activations