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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. 24515
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    Explanations

    verbs related to action and change

    oai_token-act-pair · gpt-3.5-turbo

    themes related to social dynamics and personal relationships

    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
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    Negative Logits
    raft
    -0.69
    ML
    -0.60
     Massive
    -0.59
     Originally
    -0.56
     landmark
    -0.55
     Malaysia
    -0.54
     Maryland
    -0.54
     Curve
    -0.54
     Popular
    -0.53
     Minneapolis
    -0.52
    POSITIVE LOGITS
     goddamn
    0.86
     anyways
    0.74
     fucking
    0.73
    ))))
    0.72
     godd
    0.71
     anyway
    0.71
     somew
    0.70
     sacrific
    0.68
     blah
    0.68
     damn
    0.67
    Activations Density 1.360%

    No Known Activations