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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. 6-RES-JB
    11. 18896
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    INDEX
    Explanations

    defining characteristics or actions

    oai_token-act-pair · gpt-3.5-turbo

    affirmations or statements of existence and significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CPS
    -0.72
    âĢIJ
    -0.70
     Correction
    -0.70
     sidx
    -0.64
     reimbursement
    -0.63
     Installation
    -0.63
     Safety
    -0.63
    erous
    -0.62
     Prepar
    -0.61
     OT
    -0.61
    POSITIVE LOGITS
     churn
    0.87
     nest
    0.76
    nai
    0.73
     lured
    0.73
     outper
    0.73
     suddenly
    0.72
     overshadow
    0.71
     mesmer
    0.71
     hardly
    0.71
     tremend
    0.69
    Activations Density 0.754%

    No Known Activations