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

    the word "choice"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "choice."

    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
    uum
    -0.82
    awar
    -0.80
    estones
    -0.79
    brance
    -0.74
    uman
    -0.73
    estone
    -0.73
    ahan
    -0.73
    zona
    -0.72
    otor
    -0.72
    peria
    -0.72
    POSITIVE LOGITS
     choices
    1.17
     choice
    1.09
     options
    0.85
    axe
    0.85
     Altern
    0.84
     chose
    0.83
     selection
    0.83
     Choice
    0.80
    choice
    0.80
     chooses
    0.78
    Activations Density 0.026%

    No Known Activations