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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. 1-RES-JB
    11. 13489
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    INDEX
    Explanations

    mentions or references to the term "Raw" in a specific context, possibly related to WWE programming

    oai_token-act-pair · gpt-3.5-turbo

    references to "Raw," likely indicating content related to WWE wrestling events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.93
    uppet
    -0.78
    anwhile
    -0.76
    eanor
    -0.75
    uated
    -0.75
    uate
    -0.74
    llor
    -0.71
    tesy
    -0.71
    awaru
    -0.70
    akeru
    -0.70
    POSITIVE LOGITS
    lings
    1.12
    Raw
    1.09
    lins
    1.08
     Raw
    1.03
    hide
    1.03
    kus
    0.92
    ls
    0.89
    leigh
    0.86
    esome
    0.84
    Skin
    0.81
    Activations Density 0.005%

    No Known Activations