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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. 3570
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    Explanations

    phrases indicating exclusivity or limitation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating limitation or exclusivity

    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
    conservancy
    -0.66
    device
    -0.62
    etheless
    -0.62
    multipl
    -0.60
    robat
    -0.60
    atin
    -0.60
    odus
    -0.59
     Dru
    -0.59
    successfully
    -0.59
    ashington
    -0.58
    POSITIVE LOGITS
     marginally
    0.83
     spor
    0.82
     ONE
    0.78
     limited
    0.72
     fraction
    0.71
     insofar
    0.70
    ifiable
    0.70
    iffe
    0.70
     finite
    0.69
     ones
    0.67
    Activations Density 0.187%

    No Known Activations