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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. 16473
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    Explanations

    differences in features or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    references to user interface elements and technical functionalities in technology discussions

    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
    inally
    -0.68
    estern
    -0.63
    ãģ®éŃĶ
    -0.63
    ileaks
    -0.58
    ificantly
    -0.58
    ãĥ´
    -0.58
    Lisa
    -0.57
    nat
    -0.56
    tre
    -0.56
    ãĥ©ãĥ³
    -0.56
    POSITIVE LOGITS
     anymore
    1.27
     altogether
    1.12
     nor
    1.06
     confines
    0.91
     whatsoever
    0.87
     :(
    0.83
     lest
    0.80
     cumbersome
    0.73
     necessarily
    0.73
     clutter
    0.73
    Activations Density 0.599%

    No Known Activations