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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. 12007
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    INDEX
    Explanations

    phrases indicating likelihood or possibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the existence or occurrence of events or trends

    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
    aths
    -0.71
    arios
    -0.69
    igible
    -0.63
    aire
    -0.63
     Inspect
    -0.60
    enic
    -0.59
    aires
    -0.59
    FUL
    -0.59
     Violent
    -0.58
     Audit
    -0.58
    POSITIVE LOGITS
     plateau
    0.88
     settling
    0.88
     coales
    0.82
     fading
    0.82
     circling
    0.81
     forgotten
    0.81
     waning
    0.81
     gaining
    0.81
     diminishing
    0.80
     succeeding
    0.79
    Activations Density 0.110%

    No Known Activations