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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. 3-RES-JB
    11. 17074
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    INDEX
    Explanations

    references to the technology company IBM

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "IBM"

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    icans
    -0.73
    andering
    -0.73
    igun
    -0.72
    icles
    -0.71
    alogue
    -0.70
    nels
    -0.68
    ibus
    -0.68
    length
    -0.65
    icular
    -0.65
    venge
    -0.65
    POSITIVE LOGITS
     Watson
    1.03
     IBM
    0.81
     Doodle
    0.79
     Corporation
    0.79
     Advantage
    0.76
    Cola
    0.75
    ITED
    0.74
    BM
    0.74
     Pavilion
    0.69
    ython
    0.67
    Activations Density 0.008%

    No Known Activations