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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. 2-RES-JB
    11. 14320
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    Explanations

    proper names mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names, particularly those of individuals and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ERAL
    -0.78
     Inqu
    -0.76
     Gazette
    -0.68
    aque
    -0.67
     Skydragon
    -0.67
    odore
    -0.66
    liness
    -0.64
     Chilean
    -0.64
    igators
    -0.64
    selves
    -0.61
    POSITIVE LOGITS
     Daniels
    1.04
     mustard
    0.85
    beer
    0.83
    ense
    0.82
    arse
    0.81
    terness
    0.81
     rye
    0.80
     whiskey
    0.79
    manship
    0.78
    pour
    0.75
    Activations Density 0.015%

    No Known Activations