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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. 9-RES-JB
    11. 10339
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    Explanations

    phrases that indicate absence or lack of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the absence of serious incidents or injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rex
    -0.80
    otton
    -0.73
    rn
    -0.71
    minus
    -0.70
    often
    -0.70
    gat
    -0.70
    gypt
    -0.69
    mire
    -0.69
    FML
    -0.68
    dit
    -0.68
    POSITIVE LOGITS
     indication
    1.25
     indications
    1.15
     definitive
    1.00
     formal
    1.00
     surprises
    0.98
     longer
    0.95
     additional
    0.95
     conclusive
    0.94
     immediate
    0.94
     arrests
    0.92
    Activations Density 0.110%

    No Known Activations