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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. 7-RES-JB
    11. 2820
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names related to notable individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    BLIC
    -0.69
    ascript
    -0.68
    ocument
    -0.62
    76561
    -0.60
    poke
    -0.59
    ussen
    -0.59
    REDACTED
    -0.58
     Carbuncle
    -0.58
    Äĩ
    -0.58
    ilers
    -0.56
    POSITIVE LOGITS
    ioxide
    0.67
    ¥µ
    0.65
    hing
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    otom
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    rette
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    ĸļ
    0.58
    reality
    0.58
    nova
    0.58
     Vulcan
    0.57
    Ĥ¬
    0.56
    Activations Density 0.378%

    No Known Activations