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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. 4039
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    Explanations

    references to creative or innovative concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to ideas and creativity

    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
    Not in Any Lists

    No Comments

    Negative Logits
    administ
    -0.71
     Mamm
    -0.66
    Aff
    -0.64
    owl
    -0.64
    Naz
    -0.63
    ads
    -0.63
    DAQ
    -0.63
    ords
    -0.62
     [+
    -0.62
    aths
    -0.62
    POSITIVE LOGITS
     Ideas
    0.87
     ideas
    0.83
    ually
    0.82
     provoking
    0.71
    ensical
    0.69
     sugg
    0.68
    ural
    0.67
    reprene
    0.67
     borrowed
    0.65
     inspir
    0.65
    Activations Density 0.043%

    No Known Activations