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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
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    Explanations

    the word "outcome" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to "outcome" in various contexts

    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
    uni
    -0.78
    udi
    -0.76
    andise
    -0.73
    yi
    -0.73
    ker
    -0.70
    ondo
    -0.70
    mans
    -0.69
    asus
    -0.67
    olini
    -0.67
    kers
    -0.64
    POSITIVE LOGITS
     outcome
    1.07
     thereof
    1.02
     outcomes
    0.98
    bringer
    0.93
     probabilities
    0.72
    romeda
    0.70
     expectancy
    0.69
     Winner
    0.68
     vict
    0.66
     winner
    0.65
    Activations Density 0.029%

    No Known Activations