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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. 472
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    INDEX
    Explanations

    proper nouns related to businesses or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to companies or organizations

    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
    hemy
    -0.80
    vernment
    -0.72
    htt
    -0.68
     chants
    -0.68
    ¢
    -0.65
    RT
    -0.65
    aug
    -0.64
    incarn
    -0.64
     Voters
    -0.63
     Ans
    -0.63
    POSITIVE LOGITS
     firm
    1.01
    ament
    0.94
     handshake
    0.84
    anyahu
    0.79
     firms
    0.78
    orporated
    0.77
    astically
    0.75
    orpor
    0.74
     solicitor
    0.74
     footing
    0.72
    Activations Density 0.014%

    No Known Activations