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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
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    Explanations

    mentions of the word "Nineties."

    oai_token-act-pair · gpt-3.5-turbo

    references to the 1990s and variations of the word "ninja"

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Hilton
    -0.73
     ASC
    -0.68
     Miranda
    -0.66
     DRAG
    -0.64
    Recommend
    -0.64
     Solitaire
    -0.63
     carriers
    -0.62
    Reward
    -0.62
     mileage
    -0.62
     Olsen
    -0.62
    POSITIVE LOGITS
    eteen
    1.75
    eteenth
    1.72
    eties
    1.54
    jas
    1.42
    ety
    1.25
    ovember
    1.09
    ormal
    1.07
    ieth
    1.00
    omen
    1.00
    jah
    0.99
    Activations Density 0.036%

    No Known Activations