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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. 8-RES-JB
    11. 8584
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    Explanations

    the word "t" occurring frequently

    oai_token-act-pair · gpt-3.5-turbo

    negations or contractions of the word "do" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reduced
    -0.66
    itiz
    -0.65
    bys
    -0.64
     arsen
    -0.61
    inia
    -0.60
    inav
    -0.60
     Brav
    -0.58
    =-=-=-=-=-=-=-=-
    -0.57
    Pop
    -0.57
     Compar
    -0.55
    POSITIVE LOGITS
     hesitate
    1.13
     bother
    1.07
     necessarily
    0.99
     initially
    0.85
     realise
    0.84
     shy
    0.83
     realize
    0.83
     bothered
    0.82
     dare
    0.82
     discriminate
    0.82
    Activations Density 0.050%

    No Known Activations