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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 245
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    Explanations

    technical terms that often appear in manuals or instructions

    oai_token-act-pair · gpt-3.5-turbo

    content related to cinematic techniques and film details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -1.04
    )).
    -0.73
    )))
    -0.67
    ))))
    -0.63
     Azerb
    -0.63
    ]).
    -0.60
    CONCLUS
    -0.59
     Conclusion
    -0.59
     sqor
    -0.57
    nown
    -0.56
    POSITIVE LOGITS
     PsyNet
    0.49
     incoming
    0.48
    ','
    0.48
     primary
    0.47
     ÂŃ
    0.47
     Sing
    0.47
     baby
    0.45
    ãĥĬ
    0.44
     Me
    0.43
    ®,
    0.43
    Activations Density 1.708%

    No Known Activations