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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    proper nouns and names

    oai_token-act-pair · gpt-3.5-turbo

    names and proper nouns, particularly those related to characters or entities in a narrative context

    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
    ocre
    -0.78
    inals
    -0.75
    arily
    -0.70
    aed
    -0.69
    ¥
    -0.68
    ochemical
    -0.68
    razil
    -0.68
    inct
    -0.67
     srf
    -0.67
    alian
    -0.66
    POSITIVE LOGITS
     Belle
    1.12
    fle
    0.97
    berry
    0.87
    CTV
    0.79
     Isle
    0.74
    bourg
    0.74
    pload
    0.73
    zza
    0.72
     Pry
    0.72
     Reve
    0.71
    Activations Density 0.011%

    No Known Activations