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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. 2770
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    Explanations

    phrases with repetitions or emphasized words through the use of hyphens

    oai_token-act-pair · gpt-3.5-turbo

    negatively connotated phrases or concepts, especially those involving limitations or restrictions

    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
    •All the Features!

    No Comments

    Negative Logits
     Caption
    -0.66
     Chains
    -0.63
     Lumpur
    -0.62
     Rivals
    -0.60
    ONEY
    -0.57
     footnote
    -0.57
     Odyssey
    -0.57
     Landing
    -0.56
     apolog
    -0.55
     shrink
    -0.55
    POSITIVE LOGITS
    purpose
    1.30
    important
    1.16
    consuming
    1.08
    rounder
    1.08
    star
    1.07
    powerful
    1.06
    season
    1.05
    around
    1.02
    access
    0.98
    know
    0.98
    Activations Density 0.030%

    No Known Activations