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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. 6-RES-JB
    11. 16906
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    INDEX
    Explanations

    phrases related to reductions or decreases in quantity

    oai_token-act-pair · gpt-3.5-turbo

    references to reduction in emissions or environmental impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gerald
    -0.71
    UB
    -0.62
    properties
    -0.62
    Bet
    -0.62
    Us
    -0.61
    Mir
    -0.60
    paio
    -0.60
    ORE
    -0.59
     Bees
    -0.59
    enegger
    -0.58
    POSITIVE LOGITS
    ħĭ
    0.86
    ist
    0.81
    oshenko
    0.80
    cember
    0.78
    icide
    0.76
    xual
    0.75
    icides
    0.75
    ascus
    0.74
    itized
    0.73
    ately
    0.73
    Activations Density 0.020%

    No Known Activations