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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 897
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    Explanations

    instances where amounts of money are involved

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    few
    -0.82
    deck
    -0.76
    aroo
    -0.72
    edly
    -0.69
    aldi
    -0.68
    station
    -0.67
    HAEL
    -0.66
    btn
    -0.65
    PASS
    -0.65
    rer
    -0.65
    POSITIVE LOGITS
    effic
    0.98
     excess
    0.96
     total
    0.93
     cash
    0.93
     dollars
    0.93
     revenue
    0.85
     terms
    0.83
     increments
    0.82
    efficiency
    0.82
     favor
    0.82
    Activations Density 0.082%

    No Known Activations