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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. 0-RES-JB
    11. 1694
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    Explanations

    terms related to difficult or challenging situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "dealing" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ®
    -0.73
    ername
    -0.63
    XT
    -0.62
    aez
    -0.62
    rogen
    -0.61
    aldi
    -0.59
     Premium
    -0.58
    eva
    -0.58
    iron
    -0.58
    vantage
    -0.58
    POSITIVE LOGITS
     dealing
    3.68
     dealt
    1.86
     deal
    1.65
     deals
    1.60
     combating
    1.59
     handling
    1.56
    deal
    1.51
     tackling
    1.49
     dealings
    1.47
     treating
    1.43
    Activations Density 0.018%

    No Known Activations