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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 18798
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    the end-of-document token

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emale
    -0.66
    accompan
    -0.62
    pheus
    -0.61
     Appalach
    -0.59
     Jagu
    -0.57
     Niet
    -0.56
    ij士
    -0.56
    wagen
    -0.55
     equivalents
    -0.54
     Highlands
    -0.53
    POSITIVE LOGITS
    mosp
    0.81
    lement
    0.65
     SHARES
    0.58
    fml
    0.58
    poses
    0.57
    imes
    0.56
    justice
    0.56
    llular
    0.55
    FML
    0.55
    hesda
    0.55
    Activations Density 0.129%

    No Known Activations