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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. 9-RES-JB
    11. 1669
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    oai_token-act-pair · gpt-3.5-turbo

    alphanumeric identifiers related to documents and files

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     trave
    -0.83
     debating
    -0.71
     contemplation
    -0.70
     blogging
    -0.70
     interact
    -0.69
     treadmill
    -0.68
     spar
    -0.67
     uninterrupted
    -0.67
     mull
    -0.67
     simultane
    -0.66
    POSITIVE LOGITS
    XXXX
    1.20
    20439
    1.18
    76561
    1.13
    201
    1.09
    xxxx
    1.07
    xxxxxxxx
    1.06
     00
    1.04
    0001
    1.03
    003
    1.03
     0004
    1.03
    Activations Density 0.182%

    No Known Activations