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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. 1-RES-JB
    11. 22500
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    INDEX
    Explanations

    keywords related to something being average, usual, or commonly seen

    oai_token-act-pair · gpt-3.5-turbo

    the word "typical" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Starship
    -0.69
    heed
    -0.68
    hips
    -0.67
    hung
    -0.66
    abases
    -0.65
    nuts
    -0.65
    aska
    -0.63
    down
    -0.63
    hani
    -0.63
     wrest
    -0.62
    POSITIVE LOGITS
    typ
    0.93
     typical
    0.80
    fg
    0.72
     embodiments
    0.72
     partName
    0.70
     msec
    0.68
    CRIPTION
    0.68
    regor
    0.67
     sized
    0.66
     clich
    0.65
    Activations Density 0.009%

    No Known Activations