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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. 3-RES-JB
    11. 12737
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    Explanations

    references to the term 'bio' associated with various contexts such as biology, bioenergy, and bioscience within the document

    oai_token-act-pair · gpt-3.5-turbo

    references to biotechnology and bio-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ership
    -0.78
     Revel
    -0.74
    REAM
    -0.72
     Bundy
    -0.71
    âķIJâķIJ
    -0.70
    âĶĢâĶĢ
    -0.69
    ados
    -0.67
    NESS
    -0.66
    atorial
    -0.66
    oaded
    -0.66
    POSITIVE LOGITS
    hazard
    1.36
    gon
    0.96
    fuel
    0.95
    availability
    0.95
    ethical
    0.90
    cell
    0.87
    film
    0.86
    feed
    0.85
    char
    0.85
    engineering
    0.84
    Activations Density 0.010%

    No Known Activations