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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. 23626
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    Explanations

    large quantities or values mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and references to large amounts of money

    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
    asury
    -0.62
    renheit
    -0.61
    ebted
    -0.60
    20439
    -0.59
    ãĤ´ãĥ³
    -0.58
    ohydrate
    -0.57
     Newly
    -0.57
    aina
    -0.55
    epend
    -0.55
    yang
    -0.55
    POSITIVE LOGITS
     huh
    1.47
    ?!
    1.40
     ain
    1.28
    !?
    1.28
     isn
    1.23
     eh
    1.18
    ...?
    1.15
    ?!"
    1.11
    ?).
    1.11
    ?)
    1.08
    Activations Density 1.443%

    No Known Activations