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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    INDEX
    Explanations

    mentions of electronic devices, specifically phones

    oai_token-act-pair · gpt-3.5-turbo

    references to phones and their features

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    pmwiki
    -0.78
    urities
    -0.76
    rue
    -0.71
    ais
    -0.71
    ËĪ
    -0.70
    vernment
    -0.70
    chall
    -0.70
    alid
    -0.70
    nesday
    -0.70
    ansson
    -0.69
    POSITIVE LOGITS
    phones
    0.93
     handset
    0.91
     phones
    0.86
     charger
    0.84
    tops
    0.82
     HTC
    0.80
    pei
    0.79
    awei
    0.79
    gap
    0.78
     carriers
    0.77
    Activations Density 0.019%

    No Known Activations