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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8262
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    Explanations

    phrases related to actions or occurrences that involve a strong level of involvement or influence by individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to claims, accusations, and interventions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gae
    -0.79
    enei
    -0.75
    alg
    -0.75
     resultant
    -0.66
     attest
    -0.64
    headers
    -0.63
    iasm
    -0.63
    gel
    -0.61
    ofi
    -0.60
     healed
    -0.59
    POSITIVE LOGITS
     inappropriately
    0.84
     wrong
    0.68
     improperly
    0.67
     wrongly
    0.66
     Paddock
    0.66
    netflix
    0.63
     illegally
    0.63
    "))
    0.62
     beforehand
    0.61
     unfairly
    0.61
    Activations Density 0.419%

    No Known Activations