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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. 7-RES-JB
    11. 5353
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    INDEX
    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or specific names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Codec
    -0.80
     Gauntlet
    -0.77
     Scouting
    -0.72
     simulator
    -0.71
     Tec
    -0.71
     WiFi
    -0.70
     Simulator
    -0.69
     Zoo
    -0.69
     Slow
    -0.68
     ske
    -0.68
    POSITIVE LOGITS
    ander
    1.09
    anders
    1.05
    an
    1.00
    onse
    1.00
    ann
    0.99
    ony
    0.97
    any
    0.97
    anni
    0.96
    ano
    0.95
    all
    0.93
    Activations Density 0.242%

    No Known Activations