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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. 0-RES-JB
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    Explanations

    references to a sports team named "Rangers."

    oai_token-act-pair · gpt-3.5-turbo

    references to the Rangers, likely related to a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĸ
    -0.77
     baked
    -0.75
     enumer
    -0.74
    ê
    -0.74
     coc
    -0.67
     Chao
    -0.64
    î
    -0.64
    etus
    -0.63
    nea
    -0.63
     Kimmel
    -0.62
    POSITIVE LOGITS
     Rangers
    4.22
     Ranger
    2.33
     Islanders
    1.74
     ranger
    1.55
     Yankees
    1.41
     Predators
    1.37
     Blackhawks
    1.36
     Wolves
    1.36
     Astros
    1.32
     Royals
    1.31
    Activations Density 0.018%

    No Known Activations