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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. 1-RES-JB
    11. 23329
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    INDEX
    Explanations

    mentions of the sport "hockey" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to hockey

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    graded
    -0.85
    ibility
    -0.80
    ateral
    -0.71
    âķIJâķIJ
    -0.69
    skinned
    -0.66
    ige
    -0.66
    iary
    -0.64
    orative
    -0.64
    ential
    -0.63
    iment
    -0.63
    POSITIVE LOGITS
     rink
    1.44
     hockey
    1.37
     puck
    1.21
    ipeg
    1.07
    ockey
    1.02
     Hockey
    0.99
     goalie
    0.99
     goaltender
    0.94
     goalt
    0.91
     skating
    0.90
    Activations Density 0.005%

    No Known Activations