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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. 11-RES-JB
    11. 6457
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    Explanations

    names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper names of individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢ
    -0.80
     stock
    -0.65
     Wayne
    -0.62
     slate
    -0.62
     Michigan
    -0.61
    ··
    -0.60
     Mercury
    -0.59
     revolving
    -0.59
     Windsor
    -0.57
     knowing
    -0.57
    POSITIVE LOGITS
    imov
    1.12
    ibaba
    1.05
    ogun
    1.05
    imura
    1.03
    endi
    1.01
    onen
    1.01
    tsky
    1.00
    iani
    0.99
    ipel
    0.99
    akov
    0.98
    Activations Density 0.248%

    No Known Activations