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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. 1337
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    Explanations

    references to testing or evaluating different things or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to testing or evaluating processes, capabilities, or conditions

    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
    pta
    -0.70
    CHAPTER
    -0.64
    MpServer
    -0.63
    SOURCE
    -0.62
    displayText
    -0.61
     mourn
    -0.61
    Court
    -0.60
    aurus
    -0.60
    levard
    -0.59
    journal
    -0.59
    POSITIVE LOGITS
     hypotheses
    1.34
     hypothesis
    1.12
     feasibility
    1.01
     viability
    0.95
     readiness
    0.90
    worthiness
    0.86
     effectiveness
    0.82
    concept
    0.82
     patience
    0.81
     assumptions
    0.79
    Activations Density 0.288%

    No Known Activations