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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. 7-RES-JB
    11. 23894
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    Explanations

    terminology related to scientific research and experimentation

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to scientific methods and principles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hirt
    -0.74
    ammy
    -0.70
    ync
    -0.64
     Liv
    -0.63
     TOTAL
    -0.61
     Jury
    -0.60
    ollar
    -0.60
    creen
    -0.60
     Oprah
    -0.59
     Citiz
    -0.58
    POSITIVE LOGITS
    lessly
    1.09
    lessness
    1.03
    fulness
    1.02
    making
    0.95
    abl
    0.91
    ably
    0.89
    makers
    0.87
    fully
    0.86
    uality
    0.85
    ful
    0.84
    Activations Density 0.423%

    No Known Activations