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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. 6-RES-JB
    11. 13496
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    Explanations

    proper nouns and names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific letters or sections of formal documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    terday
    -0.87
     compe
    -0.79
     physic
    -0.76
    etheless
    -0.75
     parity
    -0.72
     Extras
    -0.68
     perfection
    -0.67
    76561
    -0.67
     trave
    -0.66
    anwhile
    -0.66
    POSITIVE LOGITS
    iest
    0.93
    leys
    0.89
    onian
    0.87
    intern
    0.87
    hest
    0.86
    venth
    0.85
    icer
    0.84
    est
    0.83
    agame
    0.83
    ospels
    0.82
    Activations Density 0.294%

    No Known Activations