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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. 11-RES-JB
    11. 12366
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lin
    -0.67
    ãĤ±
    -0.64
    mates
    -0.63
    BIP
    -0.59
     Dane
    -0.59
     Cabrera
    -0.59
     discriminating
    -0.58
    vier
    -0.58
    ãĥĥ
    -0.57
    mate
    -0.57
    POSITIVE LOGITS
    olitics
    1.40
    sych
    1.36
    olitical
    1.35
    rint
    1.35
    odcast
    1.33
    olicy
    1.32
    rogram
    1.32
    owered
    1.31
    ublic
    1.31
    otent
    1.27
    Activations Density 0.074%

    No Known Activations