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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. 10-RES-JB
    11. 6953
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    Explanations

    sports events and fixtures

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports events or matches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Found
    -0.68
     Artists
    -0.62
     FOIA
    -0.62
     Journals
    -0.62
     Forensic
    -0.61
    acci
    -0.61
    achev
    -0.60
    umn
    -0.60
     Gest
    -0.58
    ffe
    -0.57
    POSITIVE LOGITS
     against
    1.33
    against
    1.14
     opener
    1.08
     matchup
    0.98
     versus
    0.95
     vs
    0.93
     unbeaten
    0.89
     clash
    0.87
     pitted
    0.87
     between
    0.87
    Activations Density 0.153%

    No Known Activations