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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. 8-RES-JB
    11. 147
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    Explanations

    references to meetings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "meeting."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģĹ
    -0.69
    ãģĦ
    -0.68
    duc
    -0.67
    Cola
    -0.67
    ãĥ©ãĥ³
    -0.67
    peria
    -0.65
    cul
    -0.65
    obal
    -0.64
    oil
    -0.63
    obs
    -0.63
    POSITIVE LOGITS
     convened
    1.07
    rooms
    1.04
     chaired
    1.02
    room
    1.00
     session
    0.94
     meetings
    0.93
     adjourn
    0.92
     Minutes
    0.89
     attendees
    0.88
     sessions
    0.88
    Activations Density 0.052%

    No Known Activations