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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. 4-RES-JB
    11. 20515
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "context" and its variations

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

    No Comments

    Negative Logits
    deen
    -0.83
    vals
    -0.79
    DAQ
    -0.78
    riage
    -0.75
    STON
    -0.73
    lopp
    -0.73
    thing
    -0.69
    dinand
    -0.68
    aah
    -0.65
    aliation
    -0.65
    POSITIVE LOGITS
     Context
    0.93
    ual
    0.90
     context
    0.89
    ually
    0.88
    uality
    0.84
     contextual
    0.82
     contexts
    0.79
    ful
    0.76
    grain
    0.74
     clues
    0.73
    Activations Density 0.013%

    No Known Activations