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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. 4-RES-JB
    11. 1053
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    Explanations

    phrases related to instructions or requirements

    oai_token-act-pair · gpt-3.5-turbo

    future actions or predictions involving "you" or "will."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Els
    -0.67
    legal
    -0.62
     Fundamental
    -0.62
    ilic
    -0.60
    Kal
    -0.60
    Eh
    -0.60
    burgh
    -0.59
    minecraft
    -0.58
    Emer
    -0.57
    ially
    -0.56
    POSITIVE LOGITS
     yourselves
    0.95
     yourself
    0.93
     notice
    0.82
    merce
    0.78
     noticed
    0.72
    hin
    0.70
     hear
    0.69
    anty
    0.69
    ogie
    0.69
     condem
    0.68
    Activations Density 0.306%

    No Known Activations