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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. 8-RES-JB
    11. 4190
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    Explanations

    generic phrases indicating comprehensiveness or entirety

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ictionary
    -0.63
    ister
    -0.63
    clair
    -0.60
    wen
    -0.60
    =[
    -0.58
    OTAL
    -0.58
    PLA
    -0.58
    alion
    -0.58
    ror
    -0.57
    ALSE
    -0.57
    POSITIVE LOGITS
     usual
    0.80
     way
    0.79
     sudden
    0.78
     requisite
    0.73
     goddamn
    0.70
     slightest
    0.69
     same
    0.68
    things
    0.68
    important
    0.67
     bells
    0.66
    Activations Density 0.052%

    No Known Activations