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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. 1-RES-JB
    11. 22053
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    Explanations

    phrases indicating future actions or predictions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "will," indicating future actions or predictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Newsletter
    -0.78
    amped
    -0.67
    acet
    -0.59
    illin
    -0.59
    cius
    -0.59
    ocular
    -0.58
    Reporting
    -0.58
    Picture
    -0.58
     Diet
    -0.57
     Shooting
    -0.57
    POSITIVE LOGITS
     be
    0.98
     doubtless
    0.97
     gladly
    0.96
     surely
    0.94
     undoubtedly
    0.94
     probably
    0.93
     likely
    0.92
     definitely
    0.90
     forever
    0.87
     inevitably
    0.86
    Activations Density 0.159%

    No Known Activations