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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. 4-RES-JB
    11. 17206
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    INDEX
    Explanations

    phrases related to instructions or imperatives

    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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orts
    -0.90
    din
    -0.75
    senal
    -0.75
    wing
    -0.72
    ovy
    -0.70
    abee
    -0.70
    izons
    -0.68
    ussian
    -0.67
     helicop
    -0.67
    ricular
    -0.66
    POSITIVE LOGITS
    -)
    1.18
     namely
    1.15
     whereas
    0.98
     furthermore
    0.93
     hence
    0.91
     Whereas
    0.88
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.88
     moreover
    0.88
    âĢ¢âĢ¢
    0.85
     thence
    0.85
    Activations Density 0.052%

    No Known Activations