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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. 2-RES-JB
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    Explanations

    words related to telecommunication companies and services, specifically "AT&T"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the AT&T telecommunications company

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perse
    -0.88
    released
    -0.73
    ãĥ£
    -0.70
    reviewed
    -0.70
    clean
    -0.68
    ãĤ³
    -0.66
    zanne
    -0.65
    ovych
    -0.65
    ãĥķ
    -0.64
    Cro
    -0.64
    POSITIVE LOGITS
    tiny
    0.94
    ARI
    0.88
    AT
    0.86
    mega
    0.81
    ATA
    0.79
     AT
    0.78
     least
    0.76
    anas
    0.75
    oday
    0.73
    ributes
    0.73
    Activations Density 0.006%

    No Known Activations