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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. 12-RES-JB
    11. 4156
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    INDEX
    Explanations

    weaknesses or faults in a specific context, possibly in a sports analysis

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    specific statistical metrics or outcomes related to football teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     satell
    -1.66
     millenn
    -1.61
     tremend
    -1.60
    ¥ŀ
    -1.46
     volunte
    -1.44
     challeng
    -1.42
     therap
    -1.41
     mathemat
    -1.39
     eleph
    -1.35
     hemor
    -1.35
    POSITIVE LOGITS
     Teams
    1.47
     Rookie
    1.37
     Defensive
    1.34
     Offensive
    1.30
     Granted
    1.27
     Players
    1.27
     Quarter
    1.27
     Offense
    1.24
     Guys
    1.24
     Especially
    1.23
    Activations Density 0.291%

    No Known Activations