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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. 15541
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    INDEX
    Explanations

    sentences highlighting the importance of various topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the significance or necessity of various issues

    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
    bow
    -0.69
    isle
    -0.68
    ilk
    -0.64
    Beck
    -0.62
    ipes
    -0.62
    oub
    -0.62
    OVA
    -0.62
    BuyableInstoreAndOnline
    -0.62
     bowling
    -0.61
    row
    -0.60
    POSITIVE LOGITS
     enough
    0.84
     nonetheless
    0.73
     timing
    0.67
    inet
    0.63
     to
    0.61
     foremost
    0.60
     emphas
    0.58
     contextual
    0.58
    ogue
    0.57
     Lauder
    0.57
    Activations Density 0.054%

    No Known Activations