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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. 4-RES-JB
    11. 6752
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    Explanations

    mentions of the word "alk" or words with similar endings such as "talk" or "walk"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names associated with scientific fields or institutions

    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
    ======
    -0.73
    ============
    -0.72
    ACTED
    -0.69
    ODUCT
    -0.69
    ALLY
    -0.67
    ãģŁ
    -0.65
    FTWARE
    -0.62
    STRUCT
    -0.62
    ================================================================
    -0.62
    PDATE
    -0.62
    POSITIVE LOGITS
    owitz
    1.17
    enburg
    1.03
    enstein
    1.03
    alk
    0.96
    iewicz
    0.94
    reath
    0.93
    rish
    0.92
    ipedia
    0.91
    edIn
    0.90
    ophon
    0.88
    Activations Density 0.015%

    No Known Activations