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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. 0-RES-JB
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    Explanations

    mentions of "Nin" or "Nineties"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Nin" or related terms associated with the Ninety-Nine

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     RELEASE
    -0.65
     craft
    -0.65
    leasing
    -0.64
    appa
    -0.63
    ORE
    -0.62
     upstream
    -0.62
     release
    -0.61
    stable
    -0.61
     mixer
    -0.61
    keeper
    -0.60
    POSITIVE LOGITS
     Nin
    3.32
    Nin
    1.40
     Sevent
    1.25
     Nim
    1.23
     Fif
    1.12
    eon
    1.08
     Cele
    1.06
     Ni
    1.01
     Gob
    0.99
     Niet
    0.97
    Activations Density 0.012%

    No Known Activations