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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. 17048
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    INDEX
    Explanations

    phrases related to things being forcefully removed or taken away

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating removal or extraction

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    cius
    -0.77
    antry
    -0.76
    cious
    -0.71
     tyr
    -0.69
     arsen
    -0.65
     Mub
    -0.64
     examiner
    -0.61
    anooga
    -0.58
     millenn
    -0.57
     Younger
    -0.57
    POSITIVE LOGITS
    fitted
    1.00
    stretched
    0.95
    posts
    0.93
    flows
    0.87
    casts
    0.80
    doors
    0.78
    wards
    0.78
    lier
    0.76
    flow
    0.76
    smart
    0.75
    Activations Density 0.130%

    No Known Activations