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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. 18217
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    INDEX
    Explanations

    statements that come across as definitive or conclusive

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, especially periods

    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
     millenn
    -0.75
     rall
    -0.72
     targ
    -0.72
     submerged
    -0.69
     eligibility
    -0.69
     sidel
    -0.69
     warr
    -0.68
     wagon
    -0.66
     surf
    -0.65
     culinary
    -0.65
    POSITIVE LOGITS
     Because
    1.38
     Anyway
    1.33
     Absolutely
    1.24
     That
    1.13
     Exactly
    1.12
     Especially
    1.11
     Secondly
    1.10
     Seriously
    1.10
     But
    1.10
     And
    1.09
    Activations Density 0.270%

    No Known Activations