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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. 7-RES-JB
    11. 17751
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    Explanations

    verbs indicating attempts or actions towards a specific goal or outcome

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to negotiation and agreement processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ients
    -0.77
    minus
    -0.76
    mson
    -0.73
    eyes
    -0.72
    bucks
    -0.67
    oola
    -0.65
    aunts
    -0.65
    bees
    -0.64
     smelled
    -0.64
    agents
    -0.62
    POSITIVE LOGITS
     reconciliation
    1.34
     mediation
    1.09
     resolution
    0.98
     truce
    0.96
     resolve
    0.96
     consensus
    0.96
     reconc
    0.94
     compromise
    0.94
     unanim
    0.91
     solution
    0.91
    Activations Density 0.428%

    No Known Activations