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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. 16673
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    Explanations

    references to location and direction

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements, specifications, or requirements for locations and buildings

    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
     Rebell
    -0.69
     saliva
    -0.63
    itivity
    -0.62
     bitterness
    -0.61
    lust
    -0.61
     aven
    -0.60
     berries
    -0.59
    irin
    -0.59
     agon
    -0.58
    obin
    -0.58
    POSITIVE LOGITS
     spacious
    1.05
    Located
    1.02
     Located
    1.02
     renovation
    0.99
     renovated
    0.99
     seating
    0.99
     remod
    0.97
     renovations
    0.96
     buildings
    0.96
     erected
    0.94
    Activations Density 1.115%

    No Known Activations