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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. 21416
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    Explanations

    words related to visibility and accessibility

    oai_token-act-pair · gpt-3.5-turbo

    references to visibility and visible attributes

    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
    artment
    -0.75
    inion
    -0.75
    allo
    -0.73
    acci
    -0.73
    req
    -0.69
    auri
    -0.69
    ieri
    -0.68
    stead
    -0.67
    lli
    -0.66
    rica
    -0.65
    POSITIVE LOGITS
     signs
    0.91
     Signs
    0.85
    ibility
    0.84
     silhou
    0.80
    ibly
    0.79
    seeing
    0.79
    ible
    0.79
     visible
    0.77
    iary
    0.73
    IBLE
    0.72
    Activations Density 0.063%

    No Known Activations