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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. 9060
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    Explanations

    greetings or exclamatory phrases, particularly with high energy or attention-seeking connotations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Hey" in various contexts

    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
    aic
    -0.68
    istar
    -0.67
     destro
    -0.67
    士
    -0.66
    idation
    -0.66
    ators
    -0.66
    ilingual
    -0.64
    rehens
    -0.63
     rall
    -0.62
    minist
    -0.62
    POSITIVE LOGITS
    hey
    1.09
     hey
    1.03
     guys
    0.97
     prest
    0.93
    Hey
    0.89
     Hey
    0.88
     Guys
    0.88
    bye
    0.87
     pardon
    0.80
    boys
    0.78
    Activations Density 0.008%

    No Known Activations