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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word "Happen" with different variations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Happ" as part of words related to events or actions

    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
     muscle
    -0.67
     condemnation
    -0.67
     voc
    -0.67
    ores
    -0.65
     tag
    -0.64
     CS
    -0.63
     grain
    -0.63
    oration
    -0.61
     indirect
    -0.59
     laud
    -0.58
    POSITIVE LOGITS
     Happ
    4.16
     happ
    1.75
     Disapp
    1.04
     Worse
    0.96
     Happiness
    0.95
    luck
    0.94
     happen
    0.94
     happens
    0.91
     Bec
    0.88
     Inher
    0.88
    Activations Density 0.017%

    No Known Activations