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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. 1-RES-JB
    11. 11492
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    Explanations

    references to buildings or structures, specifically barns

    oai_token-act-pair · gpt-3.5-turbo

    references to barns and related agricultural structures or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPLE
    -0.73
    ISM
    -0.71
     Marketable
    -0.68
    VICE
    -0.65
    ensitivity
    -0.62
    aneous
    -0.62
    Crime
    -0.61
     griev
    -0.61
     hereby
    -0.60
    EEE
    -0.59
    POSITIVE LOGITS
     barn
    1.25
    acle
    1.12
    acles
    1.10
    yard
    1.07
    ardless
    0.89
    bugs
    0.88
    ards
    0.85
    wright
    0.84
    aby
    0.83
    storm
    0.82
    Activations Density 0.009%

    No Known Activations