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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. 23220
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    Explanations

    phrases related to enhancement or improvement

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the concept of "much" in various contexts

    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
    iasco
    -0.77
    ensing
    -0.70
    opoulos
    -0.68
    mson
    -0.68
    ydia
    -0.67
    tein
    -0.66
     Errors
    -0.65
     Mechanics
    -0.65
     Tags
    -0.65
    aye
    -0.64
    POSITIVE LOGITS
     larger
    1.31
     wider
    1.29
     bigger
    1.28
     narrower
    1.25
     broader
    1.21
     smaller
    1.20
     greater
    1.17
     healthier
    1.16
     nicer
    1.14
     deeper
    1.13
    Activations Density 0.048%

    No Known Activations