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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. 15315
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    Explanations

    dates written in the format "month day" with varying levels of importance or significance

    oai_token-act-pair · gpt-3.5-turbo

    dates and numerical information related to January

    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
    tumblr
    -0.86
    inarily
    -0.69
     ponds
    -0.69
     compartment
    -0.68
     facets
    -0.66
    ï¸ı
    -0.63
    estern
    -0.63
     espresso
    -0.63
    avorite
    -0.63
    earable
    -0.61
    POSITIVE LOGITS
    externalActionCode
    0.67
    ãĤ´ãĥ³
    0.63
     landfall
    0.63
    ledged
    0.61
    llah
    0.60
    hu
    0.60
    Louis
    0.60
    trip
    0.59
     ç¥ŀ
    0.58
    LY
    0.58
    Activations Density 0.114%

    No Known Activations