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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. 9-RES-JB
    11. 5945
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    Explanations

    references to the sports team "Jets" with varying levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    references to the Jets, a sports team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ists
    -0.75
    æѦ
    -0.70
    ista
    -0.69
    ist
    -0.66
    istics
    -0.66
    vation
    -0.65
    istine
    -0.65
    istic
    -0.64
    ances
    -0.63
    é¾į
    -0.62
    POSITIVE LOGITS
     Jets
    0.92
    onic
    0.85
    onian
    0.80
    oken
    0.79
    nown
    0.79
     Khal
    0.74
    peak
    0.72
    ons
    0.71
    enhagen
    0.71
    ombo
    0.69
    Activations Density 0.058%

    No Known Activations