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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. 5009
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    INDEX
    Explanations

    mentions of being a fan or admirer of various things

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal preferences and strong fandom

    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
    eworks
    -0.89
     exped
    -0.76
     omin
    -0.74
     IDs
    -0.70
     offices
    -0.70
     overshadow
    -0.70
    querade
    -0.68
    mates
    -0.67
    alion
    -0.67
    uffs
    -0.66
    POSITIVE LOGITS
     believer
    1.37
     fan
    1.23
     sucker
    1.20
     proponent
    1.11
     skept
    1.07
     follower
    1.01
     supporter
    1.00
     subscriber
    1.00
     lover
    0.98
     pessim
    0.94
    Activations Density 0.125%

    No Known Activations