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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 17757
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    Explanations

    references to proposed legislative actions

    oai_token-act-pair · gpt-3.5-turbo

    the word "would" indicating future actions or proposals in legislative contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ti
    -0.72
     Tuc
    -0.72
     Chal
    -0.72
     Velocity
    -0.65
     Nile
    -0.64
    Statistics
    -0.64
     Corpus
    -0.63
    usage
    -0.62
    values
    -0.62
    Pie
    -0.62
    POSITIVE LOGITS
     be
    1.03
     doubtless
    0.97
     introduce
    0.96
     likely
    0.93
     undoubtedly
    0.92
     allow
    0.90
     probably
    0.88
     eventually
    0.87
     surely
    0.86
     imply
    0.85
    Activations Density 0.139%

    No Known Activations