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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
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    Explanations

    the word "Jets" in sports-related contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Jets" in various contexts

    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
    istics
    -0.78
    ists
    -0.77
    Trigger
    -0.71
    istically
    -0.66
    istic
    -0.64
    ist
    -0.64
    ciples
    -0.64
    ista
    -0.63
     advoc
    -0.63
    é¾į
    -0.62
    POSITIVE LOGITS
     Jets
    0.80
    onic
    0.78
    enhagen
    0.78
    eco
    0.76
    chedel
    0.74
    rod
    0.74
    kson
    0.72
    eah
    0.72
     Khal
    0.71
    awar
    0.70
    Activations Density 0.026%

    No Known Activations