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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
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    Explanations

    references to the word "aha" or words that sound like "aha"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the expression "aha"

    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
    lining
    -0.80
    lines
    -0.75
    writers
    -0.70
    part
    -0.70
    master
    -0.68
     fixation
    -0.67
    sports
    -0.67
    paid
    -0.66
    flies
    -0.65
    rations
    -0.62
    POSITIVE LOGITS
    aha
    1.27
    ahah
    1.12
    ibaba
    1.07
    HAHA
    0.92
    issan
    0.92
    qua
    0.91
    ghan
    0.89
    UGH
    0.85
    ikk
    0.85
    awk
    0.84
    Activations Density 0.006%

    No Known Activations