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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. 7-RES-JB
    11. 9811
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    INDEX
    Explanations

    mentions or references to authorities

    oai_token-act-pair · gpt-3.5-turbo

    references to authorities and their actions or influence

    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
    thal
    -0.73
    column
    -0.68
    ces
    -0.68
    TON
    -0.67
    ted
    -0.66
    CONT
    -0.65
     Sleeping
    -0.64
    rities
    -0.64
    Perfect
    -0.63
    tom
    -0.63
    POSITIVE LOGITS
     authorities
    0.96
     agencies
    0.91
     tasked
    0.85
     investigating
    0.85
     Authorities
    0.83
     officials
    0.80
     sanctioned
    0.78
     raided
    0.78
     dispatched
    0.77
     consulted
    0.77
    Activations Density 0.026%

    No Known Activations