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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. 15367
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    Explanations

    phrases related to action or consequences

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their contextual significance

    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
    atorium
    -0.62
    éĹĺ
    -0.61
    iversary
    -0.60
     typo
    -0.57
    aires
    -0.57
    =-=-
    -0.57
    ãĤ®
    -0.55
    ='
    -0.55
    ãĥĸ
    -0.53
     (=
    -0.52
    POSITIVE LOGITS
    ibaba
    0.65
     nevertheless
    0.63
     nonetheless
    0.62
     Ultimately
    0.61
     Regardless
    0.60
     proponents
    0.57
     anecd
    0.55
     Additionally
    0.54
     convol
    0.53
    merce
    0.53
    Activations Density 1.149%

    No Known Activations