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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. 4-RES-JB
    11. 11222
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of content creation and publication

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

    No Comments

    Negative Logits
    raf
    -1.03
    stood
    -0.90
    adish
    -0.88
    gae
    -0.88
    enei
    -0.84
    opl
    -0.83
    ilk
    -0.82
    »Ĵ
    -0.82
    umbn
    -0.81
    marks
    -0.79
    POSITIVE LOGITS
    CLASSIFIED
    1.21
     Again
    0.95
     Detected
    0.85
     Modes
    0.84
     Dates
    0.83
     Alive
    0.82
     Name
    0.79
     Notice
    0.78
     Sharing
    0.78
     Warning
    0.76
    Activations Density 0.028%

    No Known Activations