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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. 3-RES-JB
    11. 24159
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    Explanations

    mentions of strong enthusiasm or interest in various activities or topics

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "passion" and related emotional concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    annis
    -0.82
    å¸
    -0.81
    avis
    -0.79
    ãĥĥãĥī
    -0.74
    pta
    -0.73
    eor
    -0.71
    ramid
    -0.70
     Passage
    -0.67
    DERR
    -0.66
     Sachs
    -0.66
    POSITIVE LOGITS
     passion
    0.98
    atical
    0.98
     passionately
    0.92
    uality
    0.89
    iously
    0.84
    edIn
    0.82
    yip
    0.78
    ful
    0.77
     passionate
    0.76
    uous
    0.76
    Activations Density 0.013%

    No Known Activations