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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 13019
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    Explanations

    mentions of the word "President" or related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Pres" or references to presidential figures

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

    No Comments

    Negative Logits
     Lions
    -0.74
    STAR
    -0.70
     brackets
    -0.69
     Abyssal
    -0.67
     subt
    -0.67
    EStreamFrame
    -0.65
    ļéĨĴ
    -0.63
     Chop
    -0.62
     loopholes
    -0.61
     Salvation
    -0.61
    POSITIVE LOGITS
    cription
    1.19
    chool
    1.16
    ervation
    1.11
    umed
    1.10
    erves
    1.07
    idency
    1.06
    byter
    1.05
    ervative
    1.04
    umably
    1.04
    erving
    1.04
    Activations Density 0.008%

    No Known Activations