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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. 11-RES-JB
    11. 22130
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    Explanations

    information related to local context or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to community and locality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \\\\\\\\
    -0.79
    _-
    -0.78
    Room
    -0.78
    Ö¼
    -0.77
    âķIJ
    -0.74
    /**
    -0.73
    lyak
    -0.72
    iors
    -0.70
    ERSON
    -0.70
    plementation
    -0.70
    POSITIVE LOGITS
    ities
    1.04
    ised
    0.91
     sheriff
    0.90
     residents
    0.87
     authorities
    0.85
    ized
    0.83
    izations
    0.82
     NAACP
    0.81
     resident
    0.80
     grocer
    0.80
    Activations Density 0.047%

    No Known Activations