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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. 9-RES-JB
    11. 19769
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    Explanations

    mentions of being at the forefront or in a leading position

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating "leading" status or authority

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nery
    -0.73
    atron
    -0.71
    ships
    -0.71
    ilk
    -0.70
    rehens
    -0.70
    bley
    -0.70
    agan
    -0.68
    thia
    -0.68
    ascade
    -0.68
    yah
    -0.66
    POSITIVE LOGITS
     scorer
    1.12
     contenders
    1.00
     edge
    1.00
     contender
    0.93
     indicators
    0.90
     proponent
    0.88
     indicator
    0.88
     rusher
    0.85
     causes
    0.80
    stone
    0.76
    Activations Density 0.037%

    No Known Activations