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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. 6-RES-JB
    11. 7984
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    Explanations

    terms related to information, likely focusing on information technology, analysis, and systems

    oai_token-act-pair · gpt-3.5-turbo

    references to "information" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atos
    -0.77
    awar
    -0.76
    kus
    -0.75
    versions
    -0.72
    alone
    -0.71
    ned
    -0.70
    arb
    -0.69
    ny
    -0.68
    zyk
    -0.67
    KR
    -0.67
    POSITIVE LOGITS
     retrieval
    0.90
     theoret
    0.88
    frame
    0.81
     Gathering
    0.80
     gathering
    0.79
     gathered
    0.79
     overload
    0.77
     booths
    0.75
     glean
    0.74
    gregation
    0.71
    Activations Density 0.036%

    No Known Activations