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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. 11-RES-JB
    11. 12254
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    INDEX
    Explanations

    references to authors, publishers, and specific dates in articles

    oai_token-act-pair · gpt-3.5-turbo

    references to specific publications and articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ousands
    -0.73
     havoc
    -0.70
    ancies
    -0.65
    aughs
    -0.65
    ouble
    -0.59
    iencies
    -0.58
    slow
    -0.57
     hugs
    -0.56
    agically
    -0.55
    wcsstore
    -0.55
    POSITIVE LOGITS
     detailing
    1.52
     outlining
    1.44
     titled
    1.44
     explaining
    1.41
     stating
    1.40
     describing
    1.38
     entitled
    1.34
     depicting
    1.31
     indicating
    1.31
     showing
    1.28
    Activations Density 0.608%

    No Known Activations