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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 8039
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    Explanations

    the word "Chance" in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific entities or topics related to chance and probabilities

    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
    atics
    -1.02
    apolis
    -0.85
    ĻĤ
    -0.83
    rums
    -0.80
    raph
    -0.79
    ributed
    -0.78
    rador
    -0.76
    roman
    -0.74
    raphic
    -0.74
    ricting
    -0.73
    POSITIVE LOGITS
    llor
    1.48
     Chance
    1.03
    Chance
    0.80
    xual
    0.76
    chance
    0.76
    terday
    0.70
     Pact
    0.67
     Sor
    0.66
     Pitch
    0.66
    âķIJ
    0.65
    Activations Density 0.022%

    No Known Activations