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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. 7-RES-JB
    11. 19480
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    Explanations

    phrases related to actions or events that cause some form of distress or controversy

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically semicolons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orts
    -0.84
    din
    -0.75
    stration
    -0.74
    urg
    -0.66
    se
    -0.66
    itated
    -0.66
    inki
    -0.65
    itates
    -0.65
    enium
    -0.65
    aved
    -0.64
    POSITIVE LOGITS
     namely
    1.16
     furthermore
    1.07
     moreover
    1.03
    -)
    1.01
     hence
    1.00
     alternatively
    0.99
     however
    0.95
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.91
     consequently
    0.89
     whereas
    0.89
    Activations Density 0.051%

    No Known Activations