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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. 10-RES-JB
    11. 5700
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    Explanations

    expressions of excitement, shock, or emphasis using exclamation marks

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory punctuation marks or expressions of excitement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocratic
    -0.71
     retained
    -0.64
    otype
    -0.64
     credential
    -0.63
     symp
    -0.62
     tiss
    -0.62
    atories
    -0.61
     indigenous
    -0.61
    leneck
    -0.60
     contag
    -0.60
    POSITIVE LOGITS
    !!!
    0.98
    !!!!!
    0.97
    !!
    0.94
    lol
    0.93
    mmmm
    0.93
    etc
    0.92
    ãħĭ
    0.83
     Anyway
    0.83
    ãħĭãħĭ
    0.81
    !!!!
    0.80
    Activations Density 0.052%

    No Known Activations