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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. 10-RES-JB
    11. 2319
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    Explanations

    instances of meetings.

    oai_token-act-pair · gpt-3.5-turbo

    references to meetings or gatherings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģĦ
    -0.73
    peria
    -0.67
    duc
    -0.67
    Cola
    -0.63
    obal
    -0.63
    ãĥ©ãĥ³
    -0.62
     srf
    -0.60
    cul
    -0.60
    ãģĹ
    -0.60
    ulia
    -0.60
    POSITIVE LOGITS
     convened
    1.20
     chaired
    1.16
    room
    1.12
    rooms
    1.08
     adjourn
    1.03
     meetings
    1.00
     session
    0.98
     presided
    0.94
     Minutes
    0.92
     sessions
    0.92
    Activations Density 0.052%

    No Known Activations