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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. 7-RES-JB
    11. 18860
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    Explanations

    names related to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names or significant terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.74
    SOURCE
    -0.73
    Versions
    -0.72
    ufact
    -0.69
    ascript
    -0.67
    kefeller
    -0.66
    ificial
    -0.64
    âĸ¬
    -0.63
     Kissinger
    -0.60
    ROR
    -0.59
    POSITIVE LOGITS
    nen
    0.92
    ovi
    0.89
    atsu
    0.88
    ikuman
    0.84
    uchi
    0.83
    emia
    0.80
    hai
    0.78
    insky
    0.76
    uku
    0.76
    aii
    0.75
    Activations Density 0.238%

    No Known Activations