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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. 3-RES-JB
    11. 18500
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    Explanations

    proper nouns related to events or locations, particularly "StubHub."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations and notable individuals associated with events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RH
    -0.79
    izations
    -0.78
    ural
    -0.73
    heast
    -0.72
    emonium
    -0.71
    ize
    -0.69
    ativity
    -0.69
    agame
    -0.67
    auri
    -0.65
    oice
    -0.64
    POSITIVE LOGITS
    Hub
    1.14
     Stub
    1.13
    hub
    0.88
    jee
    0.84
    olicy
    0.84
    born
    0.78
     Hof
    0.72
    pole
    0.72
    Wan
    0.70
    plom
    0.69
    Activations Density 0.020%

    No Known Activations