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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. 88
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    Explanations

    phrases related to education and training programs

    oai_token-act-pair · gpt-3.5-turbo

    terms related to support services and opportunities for individuals in need

    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
     Dynam
    -0.74
     Franch
    -0.73
     Franchise
    -0.73
     Forbes
    -0.72
    iPhone
    -0.72
     Boom
    -0.70
     Spectre
    -0.70
    Capital
    -0.70
     Kraken
    -0.70
     Leviathan
    -0.68
    POSITIVE LOGITS
     counseling
    1.40
     counselling
    1.36
     abstinence
    1.34
     meditation
    1.30
     mindfulness
    1.28
     rituals
    1.28
     curriculum
    1.27
     exercises
    1.25
     training
    1.25
     ritual
    1.25
    Activations Density 0.908%

    No Known Activations