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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 20586
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    Explanations

    phrases related to the movie franchise "Fast and Furious"

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Fast and Furious" franchise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -1.12
     Seym
    -0.97
    ktop
    -0.84
    aution
    -0.82
    eryl
    -0.81
    psey
    -0.74
    uyomi
    -0.72
    76561
    -0.71
    vironment
    -0.71
    hovah
    -0.71
    POSITIVE LOGITS
    fast
    1.02
    idious
    0.93
    lane
    0.90
    Fast
    0.89
    estone
    0.86
    ener
    0.84
     Fast
    0.84
    Gordon
    0.83
    nesses
    0.81
    boot
    0.78
    Activations Density 0.006%

    No Known Activations