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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. 11082
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    Explanations

    a sequence of words related to a crime scene or violent incident

    oai_token-act-pair · gpt-3.5-turbo

    descriptions related to home invasions and shootings

    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
     honoured
    -0.80
     organisers
    -0.71
     Mongolia
    -0.69
     Mumbai
    -0.69
    arak
    -0.68
     plagiar
    -0.67
     organis
    -0.66
     Dhabi
    -0.65
    azeera
    -0.65
    iago
    -0.64
    POSITIVE LOGITS
     upstairs
    1.08
     bedroom
    1.06
     downstairs
    1.01
     porch
    0.95
     bedrooms
    0.94
     roomm
    0.90
     roommate
    0.88
     belongings
    0.86
     residence
    0.86
     neighbor
    0.85
    Activations Density 0.416%

    No Known Activations