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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. 3-RES-JB
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    Explanations

    references to the Pittsburgh Penguins hockey team

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Pittsburgh Penguins hockey team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ctors
    -0.74
    ctor
    -0.71
    lying
    -0.71
    itsu
    -0.70
    iannopoulos
    -0.69
    rex
    -0.64
    forestation
    -0.63
    nce
    -0.63
    Bee
    -0.63
    bos
    -0.62
    POSITIVE LOGITS
     defenseman
    0.97
     Sabres
    0.84
     NHL
    0.83
     goaltender
    0.83
     Blackhawks
    0.83
     Caps
    0.82
     goalt
    0.80
     Penguins
    0.80
     Fans
    0.79
     Coyotes
    0.79
    Activations Density 0.023%

    No Known Activations