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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. 16950
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    Explanations

    keywords related to software demonstrations or presentations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of demonstrations or demo versions of products or software

    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
    CHAPTER
    -0.82
    turn
    -0.75
    Else
    -0.70
    ties
    -0.70
    metic
    -0.67
    ophical
    -0.66
    sea
    -0.65
    sama
    -0.64
     perverse
    -0.64
    hearted
    -0.63
    POSITIVE LOGITS
     demo
    0.96
     demos
    0.90
    eer
    0.85
    psey
    0.81
     Demo
    0.74
    pled
    0.74
     coupon
    0.73
    eers
    0.71
     taped
    0.70
    halla
    0.70
    Activations Density 0.011%

    No Known Activations