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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. 11-RES-JB
    11. 24071
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    Explanations

    sequences of numbers and letters in a specific order

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical data or identifiers

    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
     Cla
    -0.75
     princ
    -0.73
     metic
    -0.72
     Powers
    -0.68
     Brill
    -0.66
     Polo
    -0.65
     Bret
    -0.65
     pione
    -0.65
     Lauder
    -0.65
     Reck
    -0.65
    POSITIVE LOGITS
    tx
    1.03
    {\
    0.96
    graph
    0.89
    dot
    0.88
    foo
    0.87
    appa
    0.87
    exp
    0.87
    tmp
    0.86
    race
    0.86
    axis
    0.85
    Activations Density 0.133%

    No Known Activations