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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. 10-RES-JB
    11. 12095
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    Explanations

    phrases indicating a strong recommendation or assertion

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quished
    -0.80
     Sandwich
    -0.69
    ares
    -0.69
     Sources
    -0.68
    ween
    -0.66
    engineering
    -0.63
    JD
    -0.63
     Osw
    -0.62
    soType
    -0.61
    amped
    -0.61
    POSITIVE LOGITS
     suffice
    1.25
     ALWAYS
    1.22
     gladly
    1.15
     probably
    1.13
     definitely
    1.12
     likely
    1.10
     vary
    1.08
     surely
    1.07
     undoubtedly
    1.06
     automatically
    1.06
    Activations Density 0.153%

    No Known Activations