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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. 9660
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    INDEX
    Explanations

    phrases related to restrictions or limitations

    oai_token-act-pair · gpt-3.5-turbo

    references to budgetary and operational limitations

    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
     Alz
    -0.86
    jew
    -0.74
    odor
    -0.72
     Medals
    -0.71
     Alm
    -0.71
    agram
    -0.71
    alk
    -0.70
     Heal
    -0.67
    iaz
    -0.66
     lighthouse
    -0.66
    POSITIVE LOGITS
     constraints
    2.29
     constraint
    2.00
     Vince
    1.70
     constrained
    1.69
     squeezed
    1.28
     squeeze
    1.26
     pressures
    1.20
     squeezing
    1.04
     budgets
    0.95
     squee
    0.94
    Activations Density 0.040%

    No Known Activations