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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. 5776
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    Explanations

    keywords related to historical information or events

    oai_token-act-pair · gpt-3.5-turbo

    the presence of historical references or citations

    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
     thumbs
    -0.72
     Zamb
    -0.64
     doub
    -0.64
    BOX
    -0.63
     caution
    -0.63
     manslaughter
    -0.62
     kneeling
    -0.59
     loose
    -0.59
     downhill
    -0.58
     Wonderland
    -0.58
    POSITIVE LOGITS
    orical
    1.90
    orically
    1.85
    oric
    1.75
    orian
    1.62
    orians
    1.59
    oria
    1.55
    oire
    1.43
    ori
    1.29
    orie
    1.27
    ogram
    1.13
    Activations Density 0.085%

    No Known Activations