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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. 2881
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    Explanations

    mentions of business meetings

    oai_token-act-pair · gpt-3.5-turbo

    references to meetings and discussions

    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
    duc
    -0.68
    reci
    -0.65
    shield
    -0.63
    Twe
    -0.63
    Republic
    -0.61
    Film
    -0.60
    VER
    -0.57
    integer
    -0.57
     Manufact
    -0.56
    Hur
    -0.56
    POSITIVE LOGITS
     meetings
    1.12
    hips
    1.03
     sessions
    0.97
     deliberations
    0.87
    hip
    0.85
     Minutes
    0.84
    hops
    0.79
     meeting
    0.78
     chats
    0.78
    uggest
    0.77
    Activations Density 0.032%

    No Known Activations