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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. 3-RES-JB
    11. 3955
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    INDEX
    Explanations

    mentions of places

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'a' in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lasses
    -0.76
     Shutterstock
    -0.70
    aturdays
    -0.68
    onel
    -0.67
     <[
    -0.67
     unders
    -0.65
    ARGET
    -0.64
    ONSORED
    -0.63
     Cosponsors
    -0.63
     WATCHED
    -0.61
    POSITIVE LOGITS
    ñ
    1.04
    usterity
    1.03
    ption
    0.96
    qua
    0.95
    ð
    0.93
    ichi
    0.88
    BILITY
    0.87
    ishi
    0.84
    esthetic
    0.83
    ña
    0.83
    Activations Density 0.078%

    No Known Activations