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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. 18875
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    Explanations

    words related to dining or eating out

    oai_token-act-pair · gpt-3.5-turbo

    references to dining and seating arrangements

    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
    zyk
    -0.71
     Belarus
    -0.70
    м
    -0.66
     annexed
    -0.65
     Archangel
    -0.65
     Pryor
    -0.65
    imov
    -0.62
     Mehran
    -0.60
     Petr
    -0.60
     Aerospace
    -0.59
    POSITIVE LOGITS
     halls
    0.94
     Rooms
    0.82
     rooms
    0.79
     lounge
    0.78
     establishments
    0.78
    robe
    0.78
    stairs
    0.76
    leton
    0.75
    ¶æ
    0.75
    Stars
    0.74
    Activations Density 0.040%

    No Known Activations