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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. 7-RES-JB
    11. 13874
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    Explanations

    phrases indicating sequential events

    oai_token-act-pair · gpt-3.5-turbo

    the word "Then" as a narrative transition marker

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sth
    -0.68
    cv
    -0.67
    orum
    -0.63
    undo
    -0.63
    ses
    -0.61
    ãĥĸ
    -0.60
    kb
    -0.58
    making
    -0.58
    maker
    -0.58
    leading
    -0.57
    POSITIVE LOGITS
    adays
    0.90
     secondly
    0.85
     proceeded
    0.78
     Comes
    0.75
    Ļ½
    0.70
    engeance
    0.70
    ebus
    0.70
    noon
    0.69
    ippery
    0.69
     comes
    0.68
    Activations Density 0.053%

    No Known Activations