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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. 175
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    INDEX
    Explanations

    keywords related to actions or events being initiated or introduced

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "brought."

    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
     actionGroup
    -0.64
    ims
    -0.61
     spaced
    -0.59
    raid
    -0.54
    adelphia
    -0.54
     Stay
    -0.54
     stretch
    -0.53
    cknow
    -0.53
     Reach
    -0.53
     Tribal
    -0.53
    POSITIVE LOGITS
     forth
    0.98
     forward
    0.97
     hither
    0.91
    iment
    0.85
    iments
    0.85
     thereto
    0.84
     aboard
    0.84
     ashore
    0.79
     into
    0.78
     aback
    0.76
    Activations Density 0.063%

    No Known Activations