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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. 13425
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    INDEX
    Explanations

    names or references to individuals with the prefix "Sh" followed by a strong activation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the sequence "Sh" at the beginning of words, indicating emphasis or a particular focus in the text

    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
     Ajax
    -0.75
     Tonight
    -0.68
     frequent
    -0.66
    CAST
    -0.64
     SYSTEM
    -0.64
     swing
    -0.63
     unfocusedRange
    -0.63
     prevail
    -0.63
     pal
    -0.63
     numbered
    -0.62
    POSITIVE LOGITS
    akespeare
    1.54
    utterstock
    1.50
    ooting
    1.43
    adows
    1.38
    ameless
    1.37
    ifting
    1.34
    annon
    1.34
    opping
    1.33
    attered
    1.33
    orter
    1.33
    Activations Density 0.020%

    No Known Activations