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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
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    Explanations

    references to data protection, storage, and processing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data centers and data protection

    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
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    Negative Logits
    Ô
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    å¦
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    Attempts
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    bestos
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     adoptive
    -0.61
    Mods
    -0.60
     amino
    -0.59
    estinal
    -0.56
    Vill
    -0.56
    POSITIVE LOGITS
    ophon
    0.91
    intensive
    0.90
    chnology
    0.78
    nsics
    0.78
    enhagen
    0.76
    abytes
    0.75
    oud
    0.72
    abyte
    0.72
    ucket
    0.71
    phia
    0.68
    Activations Density 0.208%

    No Known Activations