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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. 14012
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    INDEX
    Explanations

    phrases starting with "Most" and discussing universal or prevalent situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "most."

    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
    edin
    -0.79
    rompt
    -0.76
    itud
    -0.74
    OX
    -0.70
    essage
    -0.69
    acus
    -0.65
    another
    -0.64
    hirt
    -0.62
    wings
    -0.61
    hap
    -0.61
    POSITIVE LOGITS
     importantly
    1.36
     notably
    1.00
     of
    0.99
    afa
    0.97
     likely
    0.88
     people
    0.85
     Americans
    0.85
     observers
    0.85
     mornings
    0.75
     sane
    0.72
    Activations Density 0.052%

    No Known Activations