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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. 23727
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    Explanations

    phrases related to proposals or suggested actions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of proposals

    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
    wood
    -0.80
    si
    -0.74
    ocent
    -0.74
    umi
    -0.73
    gi
    -0.70
    avis
    -0.68
    sci
    -0.67
    vin
    -0.67
    zona
    -0.66
    cor
    -0.66
    POSITIVE LOGITS
     proposals
    1.11
     proposal
    1.06
    ļéĨĴ
    0.84
     proposing
    0.79
     proposed
    0.75
    CHAT
    0.73
     sugg
    0.73
    posal
    0.73
     proposes
    0.70
    osal
    0.70
    Activations Density 0.017%

    No Known Activations