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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. 7-RES-JB
    11. 23815
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    Explanations

    mathematical expressions involving addition and variables

    oai_token-act-pair · gpt-3.5-turbo

    mathematical symbols and operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    achus
    -0.73
    advertising
    -0.72
    heit
    -0.67
    ppelin
    -0.66
    ktop
    -0.66
    ainment
    -0.63
    DonaldTrump
    -0.63
    76561
    -0.63
    sburg
    -0.62
    mia
    -0.60
    POSITIVE LOGITS
    {\
    0.77
     {\
    0.72
     //[
    0.71
     ACTIONS
    0.70
     {{
    0.69
     </
    0.69
     Result
    0.69
    initialized
    0.69
    ((
    0.68
    result
    0.67
    Activations Density 0.086%

    No Known Activations