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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. 2-RES-JB
    11. 20700
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    Explanations

    phrases related to specific names of businesses or people

    oai_token-act-pair · gpt-3.5-turbo

    names of specific people and brands, particularly related to Pizza Hut and individuals involved in health or leadership roles

    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
    etheus
    -0.81
    ursed
    -0.77
    cale
    -0.74
    arbon
    -0.70
     Levi
    -0.66
     obser
    -0.65
    quartered
    -0.63
     brackets
    -0.63
    mpeg
    -0.62
     exha
    -0.62
    POSITIVE LOGITS
    lace
    0.86
    nik
    0.85
    gart
    0.84
    masters
    0.82
    lings
    0.82
    reon
    0.79
    iful
    0.78
    ty
    0.77
    glers
    0.76
    tle
    0.74
    Activations Density 0.018%

    No Known Activations