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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. 3-RES-JB
    11. 16730
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    INDEX
    Explanations

    phrases involving setting out plans or information

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the establishment or presentation of positions or proposals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    antry
    -0.74
    cius
    -0.65
    cious
    -0.65
    antine
    -0.64
    ppy
    -0.63
     arsen
    -0.62
     turnover
    -0.61
     melt
    -0.61
     Younger
    -0.59
    uberty
    -0.58
    POSITIVE LOGITS
    fitted
    0.94
    posts
    0.93
    stretched
    0.93
    lier
    0.87
    casts
    0.79
    rics
    0.69
    atis
    0.67
    )=(
    0.66
    heses
    0.65
    smart
    0.65
    Activations Density 0.113%

    No Known Activations