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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. 5-RES-JB
    6. 15343
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    Explanations

    numerical patterns or codes within a text

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or specific identifiers

    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
    usalem
    -0.82
     externalToEVAOnly
    -0.82
    odied
    -0.74
    atics
    -0.73
    redit
    -0.71
    assies
    -0.71
    akespe
    -0.71
    ewitness
    -0.71
    bered
    -0.70
    riages
    -0.69
    POSITIVE LOGITS
    st
    1.16
    507
    0.80
    naire
    0.77
    EngineDebug
    0.76
    506
    0.76
    IME
    0.75
    504
    0.75
    eous
    0.74
    503
    0.73
    âģ
    0.71
    Activations Density 0.041%

    No Known Activations