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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. 4-RES-JB
    11. 15568
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    Explanations

    terms of explanation or clarification

    oai_token-act-pair · gpt-3.5-turbo

    terms related to accuracy and precision

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

    No Comments

    Negative Logits
    ilded
    -0.67
    ibr
    -0.62
    Bul
    -0.62
    Round
    -0.60
    uma
    -0.60
     Flavoring
    -0.59
     bicycl
    -0.58
     Civil
    -0.57
    olog
    -0.57
     dialog
    -0.57
    POSITIVE LOGITS
    tainment
    0.82
     ours
    0.78
    lihood
    0.76
     {:
    0.73
    ĺħ
    0.73
     اÙĦ
    0.72
     theirs
    0.72
     forbid
    0.72
    etheless
    0.70
    ratulations
    0.69
    Activations Density 0.234%

    No Known Activations