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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
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    Explanations

    instances where the word "sit" is mentioned along with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sit."

    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
    raid
    -0.72
    iler
    -0.71
    effective
    -0.69
    enforcement
    -0.67
    Enhanced
    -0.62
    iction
    -0.61
    xual
    -0.60
    TYPE
    -0.59
    Operation
    -0.59
    ilers
    -0.59
    POSITIVE LOGITS
    lie
    0.87
     seiz
    0.87
    uate
    0.84
    aution
    0.81
    âĸ¬
    0.80
     atop
    0.80
    ivas
    0.78
    wic
    0.77
    chel
    0.77
    ters
    0.76
    Activations Density 0.017%

    No Known Activations