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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. 3700
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    Explanations

    strings of numbers

    oai_token-act-pair · gpt-3.5-turbo

    phrases and elements related to lists or sequences

    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
    quickShipAvailable
    -0.80
    displayText
    -0.78
    CU
    -0.76
    Bow
    -0.74
    isSpecialOrderable
    -0.74
     CU
    -0.73
     Geral
    -0.72
    netflix
    -0.72
    Steam
    -0.71
     Wink
    -0.71
    POSITIVE LOGITS
     Ph
    2.51
    Ph
    2.38
    ph
    2.11
     ph
    2.06
     PH
    1.95
    PH
    1.72
     Phant
    1.61
     Phill
    1.56
     Phi
    1.50
     Philly
    1.47
    Activations Density 0.240%

    No Known Activations