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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. 16181
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    Explanations

    phrases related to positive accomplishments or activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating action or performance, particularly the word "doing" in various contexts

    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
     Secondly
    -0.74
    arth
    -0.73
    isu
    -0.73
    Secondly
    -0.71
    untu
    -0.65
    ships
    -0.62
    uary
    -0.61
    ITED
    -0.59
     "$:/
    -0.59
    ilk
    -0.59
    POSITIVE LOGITS
     wonders
    1.20
     alright
    1.14
     fine
    0.99
     well
    0.97
     okay
    0.97
     poorly
    0.96
     brilliantly
    0.96
     exceptionally
    0.96
     brisk
    0.94
     terrific
    0.91
    Activations Density 0.123%

    No Known Activations