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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. 2373
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    Explanations

    dates expressed using numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years, particularly the 1980s

    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
    journal
    -0.66
    assic
    -0.66
    faced
    -0.64
    zag
    -0.64
    hammad
    -0.62
    actor
    -0.62
     Kos
    -0.62
    plom
    -0.61
     illusion
    -0.61
    hire
    -0.61
    POSITIVE LOGITS
    80
    1.06
    211
    0.86
     ILCS
    0.84
    dayName
    0.83
    70
    0.82
     msec
    0.82
    itement
    0.82
    50
    0.78
    30
    0.76
    izabeth
    0.76
    Activations Density 0.037%

    No Known Activations