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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. 3-RES-JB
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    Explanations

    mentions of something being 'cool'

    oai_token-act-pair · gpt-3.5-turbo

    the word "cool" and variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avez
    -0.73
    PLE
    -0.70
    ãĥĺãĥ©
    -0.70
    tein
    -0.69
    riage
    -0.69
     UNITED
    -0.68
    uilding
    -0.66
    Repe
    -0.66
    Reviewed
    -0.66
     PROGRAM
    -0.64
    POSITIVE LOGITS
     cool
    1.00
    oola
    0.89
    ness
    0.87
    lahoma
    0.82
     thing
    0.79
    etooth
    0.78
     stuff
    0.77
    est
    0.76
    ies
    0.75
     dude
    0.74
    Activations Density 0.013%

    No Known Activations