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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. 16345
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    Explanations

    mentions of specific people and organizations in a political context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to government surveillance and intelligence

    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
     Wrest
    -0.91
    Sty
    -0.84
    Unity
    -0.82
     derby
    -0.81
     cater
    -0.79
     Sadd
    -0.76
     gly
    -0.76
    wives
    -0.76
    unity
    -0.75
    Recipe
    -0.75
    POSITIVE LOGITS
     Snowden
    2.24
     NSA
    2.17
    NSA
    2.09
     FISA
    1.69
     Greenwald
    1.68
     spying
    1.60
     Surveillance
    1.59
     Clapper
    1.59
     surveillance
    1.54
    Snow
    1.54
    Activations Density 0.549%

    No Known Activations