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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
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    Explanations

    phrases related to the telecommunications company "AT&T"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand "AT&T"

    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
    perse
    -0.91
    released
    -0.81
    reviewed
    -0.81
    uyomi
    -0.76
    ovych
    -0.73
    ppelin
    -0.69
    clean
    -0.69
    aceutical
    -0.68
    ãĥ£
    -0.65
     fixme
    -0.65
    POSITIVE LOGITS
    tiny
    0.98
    AT
    0.91
    ARI
    0.89
    mega
    0.88
    GM
    0.83
    TR
    0.82
    TAIN
    0.81
    ributes
    0.79
    TL
    0.78
     least
    0.78
    Activations Density 0.009%

    No Known Activations