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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. 0-RES-JB
    11. 5159
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    Explanations

    specific acronyms or very specific terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to organizations and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     corrid
    -0.68
     Hampton
    -0.61
     ranges
    -0.61
    agin
    -0.60
     Ginger
    -0.59
     Fitz
    -0.59
    igans
    -0.59
     ultras
    -0.59
     strateg
    -0.58
     rall
    -0.57
    POSITIVE LOGITS
    inctions
    1.26
    paio
    0.88
    aepernick
    0.84
    DIT
    0.81
    ominated
    0.77
    lopp
    0.72
    icht
    0.72
    endix
    0.71
    iannopoulos
    0.71
    romeda
    0.71
    Activations Density 0.001%

    No Known Activations