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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. 4-RES-JB
    11. 10900
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    Explanations

    adverbs that describe a natural or expected state of being or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the concept of being 'natural' or 'naturally occurring'

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

    No Comments

    Negative Logits
    raints
    -0.73
    pled
    -0.72
     Straw
    -0.71
     Shades
    -0.70
    rik
    -0.70
     Millennium
    -0.70
     Execution
    -0.68
     Blades
    -0.67
     Horizons
    -0.66
     Chains
    -0.65
    POSITIVE LOGITS
     occurring
    0.92
     regenerate
    0.88
     regener
    0.82
     combust
    0.79
    uced
    0.78
     dissip
    0.77
    unct
    0.76
    uces
    0.75
     arises
    0.75
     grav
    0.74
    Activations Density 0.010%

    No Known Activations