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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. 13333
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    Explanations

    references to specific names or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to vitamins and their significance

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    --------------------------------------------------------
    -0.76
    dress
    -0.75
     prevailing
    -0.73
    quartered
    -0.70
    cknow
    -0.69
    ¿½
    -0.64
    erness
    -0.63
    strap
    -0.62
    ĨĴ
    -0.62
    wards
    -0.61
    POSITIVE LOGITS
    amins
    1.12
    iculture
    1.01
    rament
    0.92
    agraph
    0.88
    á
    0.85
    agons
    0.85
    chio
    0.83
     Vit
    0.83
    rolet
    0.82
    aband
    0.81
    Activations Density 0.008%

    No Known Activations