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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. 10311
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    Explanations

    proper nouns related to companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of companies or organizations

    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
    vernment
    -0.77
     Brotherhood
    -0.72
     chants
    -0.70
    ;;;;;;;;;;;;
    -0.67
     Strip
    -0.66
     è£ıç
    -0.65
    jri
    -0.65
    ===
    -0.64
    osta
    -0.63
    ع
    -0.62
    POSITIVE LOGITS
    ament
    1.09
    tor
    0.85
    orah
    0.80
     firm
    0.80
    orpor
    0.80
     firms
    0.78
    ures
    0.78
    rock
    0.78
    astically
    0.76
    ours
    0.74
    Activations Density 0.042%

    No Known Activations