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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23023
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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 @ 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
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    Negative Logits
    \/\/
    -0.85
     Skydragon
    -0.69
    ONSORED
    -0.65
    posed
    -0.65
    Redd
    -0.64
    POL
    -0.62
    PASS
    -0.61
    andals
    -0.61
    xual
    -0.61
     Avenger
    -0.60
    POSITIVE LOGITS
    gart
    0.73
    rency
    0.73
    hower
    0.71
    aneers
    0.68
    SourceFile
    0.68
    rill
    0.68
    igham
    0.66
    çİĭ
    0.66
    pillar
    0.65
    Ħ¢
    0.64
    Activations Density 0.146%

    No Known Activations