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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. 9-RES-JB
    11. 4993
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    Explanations

    the number "Three."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Three."

    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
    ifice
    -0.72
    guide
    -0.67
    IAS
    -0.65
     cryst
    -0.64
    vantage
    -0.63
    activity
    -0.63
    statement
    -0.63
    agate
    -0.62
    fw
    -0.61
    oard
    -0.61
    POSITIVE LOGITS
    rd
    1.38
     quarters
    1.19
    peat
    1.19
    teenth
    1.18
     cheers
    1.08
     Kingdoms
    0.99
     hundred
    0.98
     dimensional
    0.98
    quel
    0.96
    uously
    0.95
    Activations Density 0.073%

    No Known Activations