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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. 8-RES-JB
    11. 24200
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    Explanations

    information related to the origin or source of items or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the involvement or action of something by others

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     enthusi
    -0.76
    ãĤ´
    -0.75
     ende
    -0.74
     ingred
    -0.71
    ovsky
    -0.69
     arrang
    -0.69
    vu
    -0.68
    00007
    -0.67
    ãĥĥãĥī
    -0.65
    alloc
    -0.63
    POSITIVE LOGITS
    vernment
    0.78
     settlements
    0.78
     foreign
    0.75
     abroad
    0.73
     households
    0.71
     subsidiaries
    0.70
     either
    0.70
     their
    0.69
     such
    0.69
     these
    0.67
    Activations Density 0.485%

    No Known Activations