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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. 12386
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    INDEX
    Explanations

    names of individuals or figures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names, particularly associated with sports or prominent individuals

    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
    undai
    -0.83
    olulu
    -0.80
    yrinth
    -0.80
    ĺħ
    -0.73
    ORE
    -0.73
    erva
    -0.72
    ktop
    -0.70
    iries
    -0.69
    andr
    -0.68
    opsy
    -0.68
    POSITIVE LOGITS
     Brady
    0.84
    igham
    0.82
    riots
    0.74
    ichick
    0.72
    backer
    0.70
    abl
    0.68
    bach
    0.65
     bund
    0.65
    illo
    0.65
     Manning
    0.64
    Activations Density 0.012%

    No Known Activations