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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. 353
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    INDEX
    Explanations

    words related to actions and events taking place

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating service or restoration

    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
     HERE
    -0.70
    ?",
    -0.58
     âĢº
    -0.55
    resa
    -0.54
     Nielsen
    -0.52
     ·
    -0.52
    pires
    -0.51
     Analytics
    -0.50
     ?)
    -0.50
    )",
    -0.50
    POSITIVE LOGITS
     thereafter
    0.84
    .[
    0.78
    ).[
    0.75
    ãĤ´ãĥ³
    0.74
     afterward
    0.74
     afterwards
    0.67
    sequently
    0.67
     eventual
    0.66
     accordingly
    0.65
    ."[
    0.63
    Activations Density 2.172%

    No Known Activations