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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. 7986
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    Explanations

    phrases or names related to the name "Haw" with different levels of activations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Haw" and related terms

    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
    代
    -0.74
     Gemini
    -0.72
    udic
    -0.66
    оÐ
    -0.65
    itution
    -0.65
    uyomi
    -0.64
     tant
    -0.64
    oration
    -0.63
    ORED
    -0.62
    itutes
    -0.62
    POSITIVE LOGITS
    keye
    1.54
     Haw
    1.33
    keyes
    1.24
    haw
    1.15
    orth
    1.03
    Haw
    0.96
    oof
    0.90
    aii
    0.89
    stead
    0.86
    indal
    0.84
    Activations Density 0.004%

    No Known Activations