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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. 7-RES-JB
    11. 24192
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    Explanations

    action-oriented phrases related to the functioning or operations of systems or processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that inquire about specific operational details or raise questions regarding procedures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )</
    -0.72
    sed
    -0.65
     ..."
    -0.65
    .</
    -0.63
    .<
    -0.61
    «
    -0.59
    .","
    -0.59
     afterwards
    -0.58
    .""
    -0.58
    ãĢİ
    -0.58
    POSITIVE LOGITS
     anecdotal
    0.69
     anecd
    0.64
     advocates
    0.61
     DeVos
    0.60
     Tsarnaev
    0.59
    ymm
    0.59
     parallels
    0.58
     Hopkins
    0.58
     discrepancy
    0.58
     mounting
    0.57
    Activations Density 1.269%

    No Known Activations