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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. 6352
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    INDEX
    Explanations

    phrases expressing strong opinions or sentiments

    oai_token-act-pair · gpt-3.5-turbo

    emphatic and negative expressions of certainty or frustration

    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
    oided
    -0.72
     unsuccessfully
    -0.71
    ussions
    -0.68
     Pax
    -0.65
     Nex
    -0.63
    sequently
    -0.62
    aneers
    -0.61
    acas
    -0.60
     Juda
    -0.60
     Others
    -0.59
    POSITIVE LOGITS
     gonna
    1.12
     gotta
    1.01
    âĢ
    1.00
     âľĶ
    0.97
     funny
    0.97
     fuckin
    0.96
    hin
    0.95
     ðŁij
    0.95
    ðŁ
    0.95
    been
    0.92
    Activations Density 0.271%

    No Known Activations