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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. 14258
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    INDEX
    Explanations

    Widespread occurrences of specific events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    sentences that indicate instances of events or incidents

    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
     challeng
    -0.81
     manageable
    -0.79
     unnecess
    -0.78
     tremend
    -0.77
     retaining
    -0.70
     compet
    -0.70
     differentiated
    -0.69
     metab
    -0.69
     gobl
    -0.68
     unwilling
    -0.68
    POSITIVE LOGITS
     Earlier
    1.62
     During
    1.45
     Last
    1.43
     Recently
    1.40
     Previously
    1.30
     Back
    1.25
     Shortly
    1.25
     Originally
    1.25
     Prior
    1.23
     Throughout
    1.23
    Activations Density 0.236%

    No Known Activations