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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. 2790
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    Explanations

    phrases related to government officials and political figures

    oai_token-act-pair · gpt-3.5-turbo

    references to government officials

    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
    ãĥ¼ãĥ³
    -0.70
    urable
    -0.67
    venue
    -0.65
    ologically
    -0.65
    avers
    -0.63
    Parser
    -0.62
    title
    -0.61
    word
    -0.60
    liga
    -0.60
     rehearsal
    -0.60
    POSITIVE LOGITS
     Hasan
    0.92
     testified
    0.85
     who
    0.82
     Rupert
    0.77
     Emil
    0.75
     stationed
    0.72
     Jeffrey
    0.72
     whom
    0.72
     extraord
    0.71
    bery
    0.71
    Activations Density 0.209%

    No Known Activations