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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. 0-RES-JB
    11. 4731
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    Explanations

    terms related to financial or official matters, particularly the term 'interest'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to interest and travel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ascus
    -0.83
     parity
    -0.80
     ogre
    -0.78
     storyline
    -0.76
     entitlement
    -0.75
     fairy
    -0.73
     diligence
    -0.73
     consolidation
    -0.72
     locality
    -0.72
     peripheral
    -0.72
    POSITIVE LOGITS
     Interest
    1.93
     Suggest
    1.75
     Concern
    1.74
     Brief
    1.72
     Travel
    1.71
     Develop
    1.68
     Collect
    1.61
     Accept
    1.60
     Employ
    1.58
     Build
    1.55
    Activations Density 0.074%

    No Known Activations