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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. 15142
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    INDEX
    Explanations

    instances of meetings being described or discussed in text

    oai_token-act-pair · gpt-3.5-turbo

    references to meetings

    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
    etheless
    -0.80
     srf
    -0.74
    cms
    -0.74
    export
    -0.74
    kowski
    -0.73
    oks
    -0.73
    cedented
    -0.73
    ¥ŀ
    -0.73
    oil
    -0.72
    cul
    -0.72
    POSITIVE LOGITS
     meetings
    1.07
     Meeting
    0.84
     meeting
    0.83
     Meet
    0.81
    rooms
    0.79
     sessions
    0.79
     session
    0.78
     Rooms
    0.78
     Tanz
    0.77
     rooms
    0.77
    Activations Density 0.023%

    No Known Activations