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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. 6484
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    Explanations

    references to technology, social media, and online interactions

    oai_token-act-pair · gpt-3.5-turbo

    references to social media and online culture

    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
    eatures
    -0.63
     sender
    -0.62
    ajor
    -0.59
    Berry
    -0.58
    FILE
    -0.58
     Interior
    -0.54
    appa
    -0.54
    conduct
    -0.53
    ificantly
    -0.53
    Balt
    -0.53
    POSITIVE LOGITS
     anymore
    1.18
     lest
    1.09
     whilst
    0.98
    .?
    0.97
    ?!
    0.90
     ;)
    0.89
     bullshit
    0.89
    ???
    0.88
    *.
    0.87
     blindly
    0.87
    Activations Density 0.901%

    No Known Activations