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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. 21034
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    INDEX
    Explanations

    phrases related to introducing information or sharing findings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of introductory phrases or transitioning statements

    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
     Used
    -0.68
    ['
    -0.64
    ilage
    -0.63
     externalToEVAOnly
    -0.62
    士
    -0.62
    Charges
    -0.61
     msec
    -0.61
    lycer
    -0.60
    irgin
    -0.60
     distance
    -0.59
    POSITIVE LOGITS
     curated
    0.87
     infographic
    0.81
     VICE
    0.77
     HuffPost
    0.73
     pals
    0.73
    sonian
    0.72
     dive
    0.71
     Geek
    0.69
     retrospective
    0.66
     rundown
    0.66
    Activations Density 0.671%

    No Known Activations