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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. 2-RES-JB
    11. 7344
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    Explanations

    keywords related to business or work meetings

    oai_token-act-pair · gpt-3.5-turbo

    references to meetings and their associated attendees

    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
    Republic
    -0.75
    VER
    -0.74
    shield
    -0.68
    reci
    -0.67
    Twe
    -0.65
    binary
    -0.65
    sole
    -0.65
    duc
    -0.64
    integer
    -0.64
    Tro
    -0.61
    POSITIVE LOGITS
     meetings
    1.29
     sessions
    0.99
     Meeting
    0.91
     meeting
    0.91
     chats
    0.91
    hips
    0.83
     Minutes
    0.83
     deliberations
    0.80
     Tanz
    0.79
    escription
    0.79
    Activations Density 0.022%

    No Known Activations