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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
    11. 882
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    Explanations

    the adverb "essentially"

    oai_token-act-pair · gpt-4-turbo

    words or phrases indicating a key point or central aspect

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "essentially" indicating explanations or clarifications

    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
    Ey
    -0.74
    "},"
    -0.67
    Tickets
    -0.67
    rer
    -0.66
     Belt
    -0.64
     Greenwood
    -0.63
    tein
    -0.62
     Museum
    -0.62
    Express
    -0.61
    seller
    -0.61
    POSITIVE LOGITS
     unchanged
    0.77
    anus
    0.76
    ength
    0.74
     unint
    0.73
     akin
    0.73
     indistinguishable
    0.72
     consisted
    0.72
     unus
    0.70
    ascript
    0.69
    Ĥİ
    0.69
    Activations Density 0.010%

    No Known Activations