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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. 11-RES-JB
    11. 14630
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    Explanations

    statements or assertions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to scheduling and timing in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    romy
    -0.85
    ļéĨĴ
    -0.82
    obyl
    -0.81
    izoph
    -0.78
    llular
    -0.77
    Fax
    -0.76
    illance
    -0.75
    speech
    -0.75
    paste
    -0.74
    SPONSORED
    -0.73
    POSITIVE LOGITS
     teams
    1.53
     Teams
    1.33
     rosters
    1.33
     playoff
    1.26
     Playoff
    1.24
     ESPN
    1.23
     LeBron
    1.22
     Atlanta
    1.21
     Seattle
    1.17
     Jacksonville
    1.17
    Activations Density 0.444%

    No Known Activations