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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. 4-RES-JB
    11. 195
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    Explanations

    phrases including the word "things."

    oai_token-act-pair · gpt-3.5-turbo

    references to general concepts or events that are being discussed

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

    No Comments

    Negative Logits
    ECD
    -0.84
    gee
    -0.79
     anonymity
    -0.78
    iary
    -0.76
    NES
    -0.69
    adia
    -0.68
    oufl
    -0.68
    bern
    -0.66
    onym
    -0.66
    osa
    -0.66
    POSITIVE LOGITS
     happened
    0.91
     Happ
    0.87
     happens
    0.86
     transpired
    0.85
     Valiant
    0.83
     happen
    0.80
     happening
    0.78
     mathemat
    0.75
     happ
    0.75
     Matters
    0.75
    Activations Density 0.036%

    No Known Activations