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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
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    Explanations

    instances where meetings are mentioned

    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 @ 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
    cul
    -0.76
    oil
    -0.73
    etheless
    -0.71
    cedented
    -0.70
    haps
    -0.70
     srf
    -0.69
    secut
    -0.67
    ©¶æ
    -0.67
    astrous
    -0.66
    oks
    -0.66
    POSITIVE LOGITS
     meetings
    0.97
     session
    0.89
    rooms
    0.87
     sessions
    0.86
     Tanz
    0.81
    room
    0.81
     adjourn
    0.81
     Meeting
    0.79
     Rooms
    0.78
     rooms
    0.76
    Activations Density 0.028%

    No Known Activations