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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. 4-RES-JB
    11. 12205
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    Explanations

    words related to proper nouns, specifically names

    oai_token-act-pair · gpt-3.5-turbo

    the term "ath" related to athletics or student-athletes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.84
     Reloaded
    -0.75
    ITED
    -0.73
     shorth
    -0.71
     Gemini
    -0.65
    lda
    -0.65
    enhagen
    -0.64
     Grizzlies
    -0.62
     Maple
    -0.62
     Tomato
    -0.62
    POSITIVE LOGITS
    aniel
    0.95
    lete
    0.93
    reshold
    0.92
    ouse
    0.89
    alon
    0.89
    hem
    0.88
    opter
    0.88
    iop
    0.87
    orough
    0.86
    urst
    0.86
    Activations Density 0.010%

    No Known Activations