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

    political rhetoric

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "rhetoric" and associated discussions

    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
    atch
    -0.70
    abol
    -0.70
    illard
    -0.68
    ITNESS
    -0.68
    gur
    -0.68
    aple
    -0.68
    fman
    -0.67
    Grant
    -0.66
    Interstitial
    -0.66
    essa
    -0.65
    POSITIVE LOGITS
     rhetoric
    1.08
     guiActiveUn
    0.85
     emanating
    0.77
     flare
    0.77
     bubbles
    0.74
     flares
    0.73
     slogans
    0.72
     chatter
    0.72
     flared
    0.72
     inco
    0.71
    Activations Density 0.016%

    No Known Activations