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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. 9-RES-JB
    11. 22649
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    Explanations

    phrases related to dedication and commitment to a cause or activity

    oai_token-act-pair · gpt-3.5-turbo

    references to commitment and dedication in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Caller
    -0.68
    OPA
    -0.67
    boxing
    -0.66
    ipolar
    -0.63
    akedown
    -0.62
    effects
    -0.62
    WIND
    -0.61
    worm
    -0.61
    worms
    -0.60
    ilater
    -0.59
    POSITIVE LOGITS
     generously
    1.06
     resources
    0.94
     unres
    0.77
     energies
    0.75
     allegiance
    0.74
     talents
    0.74
    heartedly
    0.73
    eks
    0.73
     liber
    0.72
     scarce
    0.71
    Activations Density 0.196%

    No Known Activations