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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. 3884
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    Explanations

    phrases indicating certainty or determination

    oai_token-act-pair · gpt-3.5-turbo

    statements indicating personal opinions or sentiments

    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
     constituted
    -0.78
     varied
    -0.75
     differed
    -0.72
     encomp
    -0.69
     disparate
    -0.68
     incorporated
    -0.67
     millenn
    -0.66
     aggregate
    -0.65
     accumulated
    -0.65
     dispersed
    -0.65
    POSITIVE LOGITS
    He
    1.72
    His
    1.61
     He
    1.58
    his
    1.52
     His
    1.39
     he
    1.39
    he
    1.35
    him
    1.32
     HIS
    1.18
     his
    1.18
    Activations Density 0.691%

    No Known Activations