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    1. Home
    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. 11005
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    INDEX
    Explanations

    mentions of specific names or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    names and references to specific individuals 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
    rum
    -0.84
    mented
    -0.81
    matically
    -0.80
     glim
    -0.77
     shenan
    -0.73
    rers
    -0.71
    ging
    -0.71
    fully
    -0.71
     pse
    -0.70
    ged
    -0.70
    POSITIVE LOGITS
    tera
    0.92
    terday
    0.73
    alon
    0.72
    xual
    0.72
     Centauri
    0.71
    bian
    0.70
    oulos
    0.68
    odus
    0.67
    ylon
    0.67
    uclear
    0.65
    Activations Density 0.028%

    No Known Activations