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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. 11-RES-JB
    11. 13479
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    INDEX
    Explanations

    proper nouns, specifically related to people and places

    oai_token-act-pair · gpt-3.5-turbo

    sentences that convey complete thoughts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     legislatures
    -0.85
     instructional
    -0.84
     enrollment
    -0.82
     nont
    -0.80
     gubernatorial
    -0.78
     recip
    -0.75
     hemor
    -0.75
     enumer
    -0.74
     nonviolent
    -0.74
     exposures
    -0.74
    POSITIVE LOGITS
     Mourinho
    1.44
     Guardiola
    1.30
    Liverpool
    1.26
     Whilst
    1.26
    Manchester
    1.20
     Klopp
    1.19
     Wenger
    1.18
     Juventus
    1.18
    England
    1.15
    Arsenal
    1.15
    Activations Density 0.142%

    No Known Activations