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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. 21682
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    INDEX
    Explanations

    significant events or impactful actions

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with performance or outcomes related to events or incidents

    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
     fraction
    -0.57
    FN
    -0.56
    atorium
    -0.55
    IFE
    -0.53
    ife
    -0.52
    nick
    -0.52
     Canal
    -0.51
    pse
    -0.50
    ieth
    -0.48
    reci
    -0.48
    POSITIVE LOGITS
    poons
    1.16
    hips
    1.14
    uits
    0.97
    paces
    0.91
     ranging
    0.91
    heet
    0.90
    hip
    0.88
    ets
    0.85
    ettings
    0.85
    mith
    0.85
    Activations Density 0.456%

    No Known Activations