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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. 2448
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    Explanations

    numbers related to measurements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 35 in various contexts

    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
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    No Comments

    Negative Logits
    ortex
    -0.92
    ktop
    -0.85
    yrinth
    -0.82
    akening
    -0.79
    chio
    -0.77
    ĸļ
    -0.76
    ourge
    -0.73
    urous
    -0.72
    apego
    -0.72
    arling
    -0.72
    POSITIVE LOGITS
     ILCS
    0.95
    00
    0.95
    th
    0.84
    35
    0.79
    TH
    0.79
     Centauri
    0.74
    375
    0.74
    ¯¯¯¯
    0.71
    strap
    0.71
    Missing
    0.71
    Activations Density 0.020%

    No Known Activations