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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. 21398
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    INDEX
    Explanations

    positive affirmations and statements about hard work and dedication

    oai_token-act-pair · gpt-3.5-turbo

    references to actions or activities performed by individuals

    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
     Recall
    -0.78
     ®
    -0.69
    éŃĶ
    -0.67
    nor
    -0.66
    Flickr
    -0.66
    yet
    -0.65
     Unknown
    -0.65
    %:
    -0.64
     Salon
    -0.63
    unknown
    -0.62
    POSITIVE LOGITS
     everybody
    0.93
     really
    0.92
     tremendous
    0.90
     tremendously
    0.89
     pretty
    0.88
     [
    0.87
     phenomenal
    0.86
     very
    0.85
     harder
    0.84
     differently
    0.83
    Activations Density 0.353%

    No Known Activations