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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. 13426
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    Explanations

    phrases that involve taking into account or considering various factors

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize consideration or inclusion of various factors in analysis

    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
     Rhythm
    -0.70
    akedown
    -0.67
    ãĥĨ
    -0.65
    chu
    -0.62
    ido
    -0.62
    ndra
    -0.60
     Slug
    -0.60
     Winged
    -0.59
    wic
    -0.59
     bugs
    -0.59
    POSITIVE LOGITS
     account
    1.60
     consideration
    1.59
     Account
    1.13
    account
    1.07
     custody
    1.03
     stride
    0.93
     accounts
    0.91
    consider
    0.90
     Accounts
    0.88
     perspective
    0.87
    Activations Density 0.031%

    No Known Activations