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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 3019
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    Explanations

    the word "nil" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    references to "nil" or similar terms indicating a lack of value or absence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RAW
    -0.77
    ebus
    -0.75
    hen
    -0.74
    Redd
    -0.73
    eeks
    -0.72
    heny
    -0.71
    Feed
    -0.71
    hetti
    -0.71
    versions
    -0.70
    Hop
    -0.70
    POSITIVE LOGITS
    nil
    1.46
     nil
    1.28
     Nil
    0.99
    sson
    0.83
    una
    0.81
    ocent
    0.78
     null
    0.76
     NULL
    0.74
    NULL
    0.74
     indemn
    0.71
    Activations Density 0.007%

    No Known Activations