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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 18458
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    Explanations

    mentions of a specific person or entity, potentially an athlete or sports team, marked by the letters "LD."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities, particularly those associated with a certain context or storyline

    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
    ãĤ£
    -0.90
    ÙĴ
    -0.88
    ãĥ£
    -0.86
    ¯¯¯¯
    -0.86
    ãĥĦ
    -0.80
     Gleaming
    -0.80
    rawdownloadcloneembedreportprint
    -0.80
    chest
    -0.79
    BILITIES
    -0.77
    ãĥīãĥ©
    -0.76
    POSITIVE LOGITS
    JC
    0.80
    ouble
    0.76
    ividual
    0.76
    igger
    0.75
    arger
    0.74
    enture
    0.71
    orean
    0.71
     mishand
    0.71
    ocument
    0.70
    iesel
    0.70
    Activations Density 0.015%

    No Known Activations