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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. 6626
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    Explanations

    proper nouns related to various characters and personalities

    oai_token-act-pair · gpt-3.5-turbo

    specific references to films and their associated characteristics

    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
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -1.03
    etheless
    -0.98
     glim
    -0.77
     tyr
    -0.66
     toget
    -0.65
    lyak
    -0.62
    âķIJâķIJ
    -0.60
    ometimes
    -0.60
    discrimination
    -0.60
    opian
    -0.60
    POSITIVE LOGITS
    )
    1.84
    )'
    1.75
    )"
    1.72
    ),
    1.68
    ?)
    1.58
    ):
    1.56
    )",
    1.53
    )|
    1.52
    ),"
    1.50
    ).
    1.49
    Activations Density 0.480%

    No Known Activations