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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. 21562
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    Explanations

    names of places or people in a document

    oai_token-act-pair · gpt-3.5-turbo

    instances of storytelling or personal anecdotes about experiences

    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
    ielding
    -0.78
    utterstock
    -0.76
     perpetually
    -0.74
     heirs
    -0.71
    emonic
    -0.71
    etheless
    -0.69
    ģĸ
    -0.69
     legions
    -0.67
     awaits
    -0.67
    ãĤ´ãĥ³
    -0.67
    POSITIVE LOGITS
     [
    1.38
     ['
    1.32
     yesterday
    1.25
     âĢ¦"
    1.14
     ["
    1.10
     ..."
    1.06
    ,"
    1.05
    ),"
    1.05
    ,'"
    1.02
    âĢ¦"
    0.99
    Activations Density 0.768%

    No Known Activations