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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. 3-RES-JB
    11. 20819
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    Explanations

    words related to promises or commitments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to promises or commitments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.94
    FactoryReloaded
    -0.79
    displayText
    -0.75
     Hitman
    -0.72
    TPPStreamerBot
    -0.69
     Personality
    -0.68
    apist
    -0.67
    quickShipAvailable
    -0.66
    SpaceEngineers
    -0.64
    ItemTracker
    -0.64
    POSITIVE LOGITS
     vow
    1.28
    ril
    0.86
    Äį
    0.82
     vows
    0.77
    els
    0.75
    ry
    0.74
    atory
    0.74
    ties
    0.73
    itri
    0.73
     hump
    0.71
    Activations Density 0.006%

    No Known Activations