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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. 9831
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    Explanations

    phrases indicating conditional statements

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements or phrases that introduce hypothetical scenarios

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.81
    BN
    -0.78
    ivered
    -0.66
    minster
    -0.65
    senal
    -0.63
    ļéĨĴ
    -0.63
    Ī
    -0.61
    ActionCode
    -0.61
    EStreamFrame
    -0.60
    undrum
    -0.60
    POSITIVE LOGITS
     THEN
    0.83
     please
    0.81
     however
    0.81
     then
    0.77
     it
    0.76
     PLEASE
    0.73
     let
    0.72
     there
    0.71
     you
    0.70
     we
    0.70
    Activations Density 0.246%

    No Known Activations