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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. 11-RES-JB
    6. 16551
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to societal issues and challenges

    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
    poon
    -0.74
    Correction
    -0.72
    detail
    -0.70
    rocal
    -0.69
    lyak
    -0.69
    learning
    -0.69
    ELY
    -0.65
     Pwr
    -0.65
    ById
    -0.64
    Dialogue
    -0.63
    POSITIVE LOGITS
     surrounds
    1.30
     accompanies
    1.29
     perv
    1.27
     ensued
    1.25
     plagued
    1.18
     dominates
    1.14
     preceded
    1.14
     perme
    1.11
     accompanied
    1.10
     surrounded
    1.10
    Activations Density 0.135%

    No Known Activations