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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. 9-RES-JB
    11. 3015
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    INDEX
    Explanations

    positive sentiment and affirming words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    frequent use of the word "overall" and related terms in reviews or summaries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aily
    -0.78
    ggles
    -0.78
    "},"
    -0.62
    ËĪ
    -0.62
    imm
    -0.60
    uras
    -0.59
    him
    -0.58
    ums
    -0.56
    ocene
    -0.56
    ocaust
    -0.54
    POSITIVE LOGITS
     speaking
    1.03
    adays
    0.86
    soever
    0.83
     we
    0.83
    ,.
    0.81
     they
    0.80
     it
    0.77
    ,
    0.77
     though
    0.76
     there
    0.72
    Activations Density 0.149%

    No Known Activations