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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 9-RES-JB
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    Explanations

    occurrences of the word "shortly"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "shortly" and its variations to indicate the timing of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imm
    -0.70
    aden
    -0.62
    acus
    -0.62
    neys
    -0.61
    otto
    -0.61
    ajo
    -0.60
    initely
    -0.60
     Equality
    -0.58
    smanship
    -0.58
    rito
    -0.56
    POSITIVE LOGITS
     thereafter
    1.54
     afterwards
    1.17
     afterward
    1.13
     ago
    0.92
    aneously
    0.91
     after
    0.90
     aft
    0.89
     followed
    0.88
     enough
    0.88
     before
    0.82
    Activations Density 0.030%

    No Known Activations