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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. 2-RES-JB
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    Explanations

    superlatives, particularly the word "most"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the superlative form of "most."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pload
    -0.79
    instead
    -0.67
     Travels
    -0.66
    rompt
    -0.65
    ategor
    -0.63
    halla
    -0.63
    heid
    -0.63
     Races
    -0.61
     Handling
    -0.60
    fman
    -0.60
    POSITIVE LOGITS
     important
    0.94
     importantly
    0.89
     notable
    0.86
    likely
    0.86
     obvious
    0.84
     likely
    0.81
     prominent
    0.78
    worst
    0.78
    iest
    0.78
     noticeable
    0.78
    Activations Density 0.082%

    No Known Activations