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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. 16348
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    Explanations

    phrases related to achieving success or making an impact

    oai_token-act-pair · gpt-3.5-turbo

    references to achieving or recognizing significant milestones or "marks."

    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
     gladly
    -0.64
     hail
    -0.64
    rouse
    -0.61
     disproportionate
    -0.60
    itely
    -0.60
     rented
    -0.60
     passively
    -0.59
    perty
    -0.59
    otos
    -0.58
     planners
    -0.58
    POSITIVE LOGITS
    manship
    1.18
    marks
    0.94
     mark
    0.88
    mark
    0.86
     Twain
    0.86
    emark
    0.85
     marks
    0.83
    down
    0.80
    ably
    0.76
    ename
    0.76
    Activations Density 0.014%

    No Known Activations