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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. 7-RES-JB
    11. 4021
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    Explanations

    information about sports matches and victories

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports events and achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įå¥ij士
    -0.74
     è£ıè
    -0.72
    SpaceEngineers
    -0.70
    iat
    -0.69
    eret
    -0.68
    ecd
    -0.66
    natureconservancy
    -0.66
     briefings
    -0.64
    ework
    -0.63
     PowerPoint
    -0.62
    POSITIVE LOGITS
     unbeaten
    1.03
     undefeated
    0.91
     ninth
    0.84
     seventh
    0.79
     PID
    0.77
     eighth
    0.76
     sixth
    0.75
     tally
    0.74
     unbeat
    0.73
    ranked
    0.73
    Activations Density 0.414%

    No Known Activations