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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23258
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations, entities, or acronyms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     gent
    -0.70
     mixed
    -0.69
     hig
    -0.66
     artificial
    -0.66
     surn
    -0.66
     consolidation
    -0.65
     migr
    -0.64
     contempor
    -0.64
     blurred
    -0.64
     corridors
    -0.64
    POSITIVE LOGITS
    ADRA
    0.98
    orks
    0.86
    untu
    0.85
    Leaks
    0.83
    ÃŃn
    0.82
    Plex
    0.82
    enge
    0.81
    ¬
    0.81
    isite
    0.81
    EGIN
    0.79
    Activations Density 0.252%

    No Known Activations