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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. 5654
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    Explanations

    dates or months represented as words

    oai_token-act-pair · gpt-3.5-turbo

    references to seasonal months or timestamps related to seasonal events

    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
    eton
    -0.77
    egal
    -0.74
    SPONSORED
    -0.73
     Strauss
    -0.69
    andra
    -0.66
    atography
    -0.64
    osen
    -0.64
    hiba
    -0.63
    overs
    -0.63
    won
    -0.62
    POSITIVE LOGITS
    mented
    0.93
    utive
    0.91
    getic
    0.91
    mentation
    0.89
    gence
    0.88
    utical
    0.88
    wolves
    0.86
    theless
    0.85
    ment
    0.85
    ember
    0.82
    Activations Density 0.009%

    No Known Activations