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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. 8-RES-JB
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    Explanations

    phrases mentioning the company "AT&T."

    oai_token-act-pair · gpt-3.5-turbo

    references to the telecommunications company AT&T

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perse
    -0.91
    ppelin
    -0.71
    aceutical
    -0.68
    theless
    -0.68
    itives
    -0.67
    pressure
    -0.67
    released
    -0.65
    placed
    -0.65
    reviewed
    -0.63
    clean
    -0.61
    POSITIVE LOGITS
    mega
    1.02
    ARI
    0.98
    tiny
    0.97
    OM
    0.89
    Ms
    0.86
    ECH
    0.84
    RON
    0.84
    rix
    0.83
    ILA
    0.83
    anas
    0.82
    Activations Density 0.027%

    No Known Activations