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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. 7-RES-JB
    11. 14673
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    Explanations

    mentions of environmental terms and initiatives

    oai_token-act-pair · gpt-3.5-turbo

    references to climate initiatives and environmental organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    jay
    -0.69
    pta
    -0.67
     Obj
    -0.67
    usra
    -0.64
     VIDEOS
    -0.61
     Mub
    -0.61
    xious
    -0.59
    ilo
    -0.59
    haar
    -0.58
     Amen
    -0.58
    POSITIVE LOGITS
    tein
    1.03
    reau
    0.76
    ingen
    0.75
    enhagen
    0.75
    steen
    0.74
    swick
    0.71
    enaries
    0.70
     Garland
    0.69
    midt
    0.68
    ĵĺ
    0.67
    Activations Density 0.429%

    No Known Activations