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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. 1-RES-JB
    11. 8556
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    INDEX
    Explanations

    proper nouns, specifically names of individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific organizations or entities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    raltar
    -0.80
    obal
    -0.78
    hers
    -0.76
    nered
    -0.76
    melon
    -0.74
    lear
    -0.72
    ioned
    -0.71
    ĺħ
    -0.71
    quarters
    -0.71
    istan
    -0.70
    POSITIVE LOGITS
    UV
    0.81
    zx
    0.81
    ORK
    0.79
    orkshire
    0.78
     Nanto
    0.74
     Yose
    0.73
     Bulg
    0.68
    ielding
    0.65
     Wid
    0.65
     Dise
    0.65
    Activations Density 0.019%

    No Known Activations