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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. 9123
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    INDEX
    Explanations

    action verbs related to decision-making or action-taking

    oai_token-act-pair · gpt-3.5-turbo

    references to actions or events involving people and relationships

    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
    etc
    -0.61
    orer
    -0.59
    rawdownloadcloneembedreportprint
    -0.57
    tz
    -0.57
    wind
    -0.56
    gaard
    -0.56
    hound
    -0.56
    olson
    -0.55
    vious
    -0.55
    current
    -0.54
    POSITIVE LOGITS
     accompanied
    1.00
     principally
    0.85
     anonymously
    0.81
     chiefly
    0.81
    accompanied
    0.79
     primarily
    0.78
     cheaply
    0.74
     mainly
    0.73
     preceded
    0.73
     outwe
    0.72
    Activations Density 0.656%

    No Known Activations