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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. 17419
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    Explanations

    dates where events or actions occurred

    oai_token-act-pair · gpt-3.5-turbo

    dates mentioned 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
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    Negative Logits
    orically
    -0.71
    urious
    -0.60
    abad
    -0.60
    enting
    -0.60
    aterasu
    -0.59
    nyder
    -0.59
    estern
    -0.58
     goats
    -0.58
     swirl
    -0.58
    igans
    -0.57
    POSITIVE LOGITS
    pole
    0.90
    endment
    0.73
    ħĭ
    0.69
    taboola
    0.69
    ttle
    0.66
    arth
    0.66
    Female
    0.66
    Posts
    0.65
    ools
    0.65
    actionDate
    0.63
    Activations Density 0.137%

    No Known Activations