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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. 9-RES-JB
    11. 20082
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    Explanations

    phrases at the end of sentences describing a conclusion or summary

    oai_token-act-pair · gpt-3.5-turbo

    phrases that summarize key conclusions or main points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĺ
    -0.84
    roups
    -0.82
    ipel
    -0.78
    alde
    -0.74
    arre
    -0.71
    pload
    -0.71
    TIT
    -0.70
    urat
    -0.69
    estern
    -0.68
    ãĤ¼ãĤ¦ãĤ¹
    -0.68
    POSITIVE LOGITS
     takeaway
    0.98
     boils
    0.88
     verdict
    0.84
     conclusion
    0.81
     implication
    0.77
     message
    0.75
    :
    0.75
     proposition
    0.71
     summary
    0.70
     perspective
    0.69
    Activations Density 0.095%

    No Known Activations