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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. 10903
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    Explanations

    words related to concepts or abstract ideas, such as memories, attention, and design

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods and colons

    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
    isher
    -0.80
     honoured
    -0.78
    oshenko
    -0.74
     affili
    -0.74
    cipled
    -0.73
     sob
    -0.73
    ishers
    -0.70
     clin
    -0.69
    çľ
    -0.69
     induct
    -0.68
    POSITIVE LOGITS
     Specifically
    1.44
     Whereas
    1.39
     Unlike
    1.20
     Ideally
    1.20
     Currently
    1.19
     Essentially
    1.16
     Besides
    1.16
     Although
    1.15
     Previously
    1.15
     Otherwise
    1.15
    Activations Density 0.638%

    No Known Activations