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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. 9-RES-JB
    6. 14597
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    Explanations

    proper nouns of people's names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Loaded
    -0.63
     psi
    -0.61
     brill
    -0.61
     interchange
    -0.58
     equivalents
    -0.56
     coli
    -0.55
    ··
    -0.54
    ADVERTISEMENT
    -0.54
     heaviest
    -0.53
     cogn
    -0.53
    POSITIVE LOGITS
     Jr
    0.99
    chuk
    0.98
    opoulos
    0.95
    owicz
    0.90
    houn
    0.82
    velt
    0.82
    berger
    0.82
    ovich
    0.81
    ius
    0.80
    avage
    0.79
    Activations Density 0.259%

    No Known Activations