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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. 5-RES-JB
    6. 17900
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    Explanations

    lines of code and programming terms

    oai_token-act-pair · gpt-3.5-turbo

    programming constructs related to function and data handling in code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    etheless
    -1.13
    maxwell
    -0.70
     guiName
    -0.63
     defic
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     mathemat
    -0.61
    ampa
    -0.61
    anish
    -0.61
    wagen
    -0.60
    akov
    -0.58
    ĵĺ
    -0.58
    POSITIVE LOGITS
    )"
    1.33
    )."
    1.11
     )
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    )}
    1.09
    ),"
    1.09
     ))
    1.05
    )/
    1.05
     )]
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     .)
    1.03
    Activations Density 0.096%

    No Known Activations