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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
    11. 17393
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    Explanations

    sentences expressing strong feelings or opinions

    oai_token-act-pair · gpt-3.5-turbo

    references to various sentiments expressed in the text

    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
    DERR
    -0.80
    ARDS
    -0.71
     Mamm
    -0.71
    ummies
    -0.70
    ctic
    -0.67
    ARD
    -0.66
     Skydragon
    -0.65
    arters
    -0.64
    ÄŁ
    -0.64
     navig
    -0.62
    POSITIVE LOGITS
    ality
    1.32
     sentiments
    1.09
     sentiment
    0.97
    ally
    0.93
    naire
    0.84
    uated
    0.80
    igue
    0.80
    uation
    0.77
    uality
    0.77
     expressed
    0.77
    Activations Density 0.019%

    No Known Activations