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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. 6-RES-JB
    11. 23198
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    Explanations

    occurrences of the word "Volkswagen" or its variations in the text snippets

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Volkswagen and related vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andra
    -1.03
    Haw
    -0.87
    yip
    -0.84
    alon
    -0.77
    ery
    -0.75
    ologies
    -0.75
    ľ
    -0.75
    metry
    -0.72
    efeated
    -0.72
    y
    -0.71
    POSITIVE LOGITS
    stein
    0.72
     Bridgewater
    0.68
     Desert
    0.68
    ··
    0.67
    Bear
    0.67
     beetle
    0.67
    heimer
    0.65
    lain
    0.64
     bund
    0.64
     Curve
    0.63
    Activations Density 0.079%

    No Known Activations