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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. 13131
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    Explanations

    references to specific dates or seasons

    oai_token-act-pair · gpt-3.5-turbo

    specific characters and formats commonly used in technical or programming contexts

    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
    edIn
    -0.72
    emale
    -0.72
    ©¶æ
    -0.72
     horizont
    -0.68
    wagen
    -0.67
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.65
    ilaterally
    -0.65
     vulner
    -0.65
     thous
    -0.63
    oliath
    -0.62
    POSITIVE LOGITS
     Psy
    0.58
     Mant
    0.58
    ionic
    0.56
     Crew
    0.54
     Meat
    0.53
     Action
    0.52
    esson
    0.52
     Mars
    0.52
    Fish
    0.52
    buquerque
    0.51
    Activations Density 0.265%

    No Known Activations