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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 15535
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    INDEX
    Explanations

    phrases indicating willingness for engagement or interaction

    oai_token-act-pair · gpt-3.5-turbo

    expressions that encourage openness and communication

    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
    rament
    -0.77
     Templ
    -0.64
    ources
    -0.60
     Canaver
    -0.59
     Clement
    -0.57
     McDonnell
    -0.55
    ¬¼
    -0.55
    etheless
    -0.54
    oaded
    -0.54
    SourceFile
    -0.53
    POSITIVE LOGITS
    inct
    0.74
    itsu
    0.70
    INE
    0.66
    in
    0.63
    inal
    0.62
    inem
    0.62
    ins
    0.62
    ine
    0.61
    inates
    0.60
    inyl
    0.60
    Activations Density 0.152%

    No Known Activations