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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. 4-RES-JB
    6. 3052
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    Explanations

    references to the soccer club "Arsenal" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the football club Arsenal

    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
    obe
    -0.77
    aho
    -0.74
    umbn
    -0.70
    ommel
    -0.69
    pty
    -0.68
    margin
    -0.66
    states
    -0.63
    leading
    -0.62
    orders
    -0.62
    ebin
    -0.62
    POSITIVE LOGITS
    Arsenal
    0.88
     Skydragon
    0.79
     Wenger
    0.78
     Arsenal
    0.78
     FC
    0.76
     AFC
    0.71
    bane
    0.70
     Yard
    0.69
     mosqu
    0.69
     Sports
    0.69
    Activations Density 0.009%

    No Known Activations