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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. 10-RES-JB
    11. 7039
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    INDEX
    Explanations

    mentions of quality or intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to variations or components of language or communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     for
    -0.56
    +)
    -0.52
     Sins
    -0.51
    ==
    -0.50
     part
    -0.49
     Inquisition
    -0.49
    into
    -0.48
     indeed
    -0.48
     ashore
    -0.47
     behalf
    -0.46
    POSITIVE LOGITS
    ļéĨĴ
    0.61
    bial
    0.61
    cium
    0.60
    nant
    0.60
    herical
    0.58
    qus
    0.57
    cffff
    0.57
    mitter
    0.57
    aline
    0.55
    Clock
    0.55
    Activations Density 0.522%

    No Known Activations