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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. 10-RES-JB
    11. 15969
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    Explanations

    references to local locations or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to local authorities or local news

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \\\\\\\\
    -0.86
    ERSON
    -0.82
    _-
    -0.81
    Ö¼
    -0.78
    lyak
    -0.72
    ushima
    -0.71
    Room
    -0.70
    âķIJ
    -0.70
    renheit
    -0.70
    hower
    -0.69
    POSITIVE LOGITS
    ities
    1.09
    ised
    0.99
     residents
    0.95
     sheriff
    0.92
     governments
    0.92
     municipality
    0.90
     authorities
    0.90
     councils
    0.88
     councillor
    0.87
    izations
    0.85
    Activations Density 0.038%

    No Known Activations