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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. 1617
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    Explanations

    instances where an action is being done by a person or a group of people

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal and judicial processes

    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
    eteen
    -0.63
    irteen
    -0.61
    ctory
    -0.61
    utenberg
    -0.56
    ixty
    -0.56
    acca
    -0.55
    eteenth
    -0.55
    terness
    -0.54
     onstage
    -0.54
    illin
    -0.52
    POSITIVE LOGITS
     etc
    0.85
     REALLY
    0.83
     VERY
    0.83
     HUGE
    0.83
     alot
    0.83
     MUCH
    0.80
     REAL
    0.80
     NOT
    0.79
     kinda
    0.79
     whats
    0.76
    Activations Density 1.278%

    No Known Activations