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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. 4-RES-JB
    11. 24441
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    Explanations

    phrases related to software or product features

    oai_token-act-pair · gpt-3.5-turbo

    references to new features in products or technologies

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

    No Comments

    Negative Logits
    externalActionCode
    -0.73
    cale
    -0.71
    onz
    -0.69
    ears
    -0.69
    abama
    -0.67
    apy
    -0.66
    azar
    -0.65
    reath
    -0.65
    uddin
    -0.64
     Minutes
    -0.64
    POSITIVE LOGITS
    lich
    0.97
    Feature
    0.90
    ttes
    0.89
    feature
    0.85
     feature
    0.83
     features
    0.81
    ivity
    0.78
     Features
    0.78
    Features
    0.76
     prominently
    0.73
    Activations Density 0.021%

    No Known Activations