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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. 7038
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     Grail
    -0.61
     prophes
    -0.60
     churn
    -0.58
     lining
    -0.57
     coupled
    -0.57
     whipping
    -0.57
     Archangel
    -0.56
     committed
    -0.56
     mortals
    -0.56
     favor
    -0.56
    POSITIVE LOGITS
    Interstitial
    1.05
    Mech
    0.89
     ',
    0.86
     '[
    0.83
    affer
    0.83
    Cause
    0.82
    yss
    0.82
    Medic
    0.81
    taboola
    0.79
    tis
    0.77
    Activations Density 0.032%

    No Known Activations