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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. 13071
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    INDEX
    Explanations

    phrases related to historical context and background information

    oai_token-act-pair · gpt-3.5-turbo

    terms related to intensity in various contexts

    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
    accompan
    -0.86
    ledged
    -0.85
     Shades
    -0.76
    ACTED
    -0.74
     captcha
    -0.73
    stellar
    -0.70
     awa
    -0.69
     trave
    -0.68
    imentary
    -0.68
     Cthulhu
    -0.68
    POSITIVE LOGITS
    intensive
    1.15
     Factory
    0.69
     sectors
    0.69
     factory
    0.69
     Parables
    0.65
    eds
    0.64
     Bureau
    0.62
    odies
    0.61
    inals
    0.61
     Nation
    0.60
    Activations Density 0.001%

    No Known Activations