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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. 8-RES-JB
    11. 5056
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to information or inquiries for details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥī
    -0.80
    ãĥŃ
    -0.69
    ãĤ¨ãĥ«
    -0.65
    uble
    -0.64
    ļé
    -0.63
    marg
    -0.61
     resil
    -0.61
    asc
    -0.60
    raq
    -0.60
     guiActiveUn
    -0.60
    POSITIVE LOGITS
     II
    1.12
     I
    1.08
    I
    1.07
    II
    1.00
     IX
    0.90
    III
    0.86
     Ich
    0.85
     Ike
    0.85
     XI
    0.81
    isle
    0.79
    Activations Density 0.220%

    No Known Activations