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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. 15646
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    Explanations

    the word "most"

    oai_token-act-pair · gpt-3.5-turbo

    references to the majority or prevailing situations

    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
    rompt
    -0.91
    heid
    -0.81
    pload
    -0.76
    icer
    -0.73
     Films
    -0.64
    arter
    -0.64
     Fist
    -0.63
     CARD
    -0.62
     Travels
    -0.62
    instead
    -0.61
    POSITIVE LOGITS
     importantly
    0.90
    afa
    0.80
     important
    0.80
    likely
    0.78
    ONE
    0.74
     mornings
    0.73
     egregious
    0.73
     egreg
    0.70
     mundane
    0.68
     notably
    0.67
    Activations Density 0.065%

    No Known Activations