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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. 11-RES-JB
    6. 8735
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    INDEX
    Explanations

    items or objects related to physical attributes or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of visual attributes and specific features in objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orthy
    -0.87
    MQ
    -0.87
    Financial
    -0.83
    ocity
    -0.82
    agonist
    -0.80
    conservancy
    -0.80
    obia
    -0.80
    iphany
    -0.80
    dule
    -0.79
    absolute
    -0.77
    POSITIVE LOGITS
     markings
    1.25
     stitching
    1.18
     buttons
    1.16
     inscription
    1.15
     logo
    1.15
     accents
    1.15
     vents
    1.14
     protr
    1.14
     triangular
    1.12
     zipper
    1.12
    Activations Density 0.317%

    No Known Activations