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    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. 7387
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    Explanations

    mentions of 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 @ 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
    perse
    -0.86
    released
    -0.76
    reviewed
    -0.71
    uyomi
    -0.69
    aceutical
    -0.69
    clean
    -0.69
    ãĤ°
    -0.65
    ovych
    -0.63
    ppelin
    -0.62
     fixme
    -0.62
    POSITIVE LOGITS
    mega
    0.93
    tiny
    0.92
    ARI
    0.91
    EMENT
    0.89
    AT
    0.86
    OM
    0.83
    anas
    0.82
    ILA
    0.81
    oday
    0.81
    GM
    0.80
    Activations Density 0.011%

    No Known Activations