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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. 0-RES-JB
    11. 6666
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    INDEX
    Explanations

    positive and optimistic words

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hopefulness and aspiration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ake
    -0.65
    erk
    -0.65
     Categories
    -0.63
    rete
    -0.63
    iard
    -0.60
    self
    -0.60
    atio
    -0.60
    Cut
    -0.60
    riz
    -0.59
     Thro
    -0.58
    POSITIVE LOGITS
     hopeful
    3.67
     optimistic
    2.23
     optimism
    1.64
     upbeat
    1.54
     pessimistic
    1.52
     aspir
    1.42
     bullish
    1.40
     hopes
    1.38
     hope
    1.32
     hoping
    1.31
    Activations Density 0.007%

    No Known Activations