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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. 10-RES-JB
    11. 20593
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    INDEX
    Explanations

    phrases related to actions or events happening over a significant period of time

    oai_token-act-pair · gpt-3.5-turbo

    elements related to personal choices and consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ggles
    -0.63
     Adds
    -0.63
     Recent
    -0.60
    Ô
    -0.55
     Prepare
    -0.55
    Adds
    -0.54
    */
    -0.52
     WATCH
    -0.52
    Update
    -0.50
    zens
    -0.50
    POSITIVE LOGITS
     mattered
    1.43
     lacked
    1.43
     resembled
    1.40
     was
    1.39
     seemed
    1.38
     depended
    1.37
     wasn
    1.34
     tended
    1.33
     belonged
    1.33
     had
    1.30
    Activations Density 1.535%

    No Known Activations