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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. 22088
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    INDEX
    Explanations

    references to manufacturers or producers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of "makers" in various industries

    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
     Territories
    -0.90
    Ku
    -0.73
     Territ
    -0.68
     Alban
    -0.67
     Shal
    -0.67
     Buckley
    -0.66
     Barnett
    -0.65
     Ging
    -0.64
     Himal
    -0.64
     Labrador
    -0.64
    POSITIVE LOGITS
     maker
    1.04
    awaru
    1.01
    pace
    0.91
     makers
    0.91
     nomine
    0.90
    cham
    0.89
    paces
    0.85
    sonian
    0.83
    caster
    0.82
    maker
    0.82
    Activations Density 0.008%

    No Known Activations