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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. 9-RES-JB
    6. 1259
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    INDEX
    Explanations

    information related to financial matters, specifically movie box office performance

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and box office performance indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Oss
    -0.74
     Canaver
    -0.72
     Hast
    -0.70
     tink
    -0.68
    igent
    -0.68
     [&
    -0.67
    seless
    -0.66
    disciplinary
    -0.66
     Brist
    -0.66
     indent
    -0.65
    POSITIVE LOGITS
     viewership
    1.12
     theaters
    1.12
     audiences
    1.04
     Nielsen
    1.03
     viewers
    0.98
     rating
    0.94
     Cinema
    0.93
     ratings
    0.93
     previews
    0.92
     domestically
    0.91
    Activations Density 0.255%

    No Known Activations