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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. 9-RES-JB
    11. 20316
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    Explanations

    phrases related to intelligence agencies, investigative work, and security operations

    oai_token-act-pair · gpt-3.5-turbo

    words that are related to interpretation or representational concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ£
    -0.62
     Wass
    -0.61
     plat
    -0.60
     til
    -0.58
    offs
    -0.58
    ãĢIJ
    -0.57
    çĦ
    -0.57
     pedest
    -0.56
     darling
    -0.53
    qt
    -0.53
    POSITIVE LOGITS
    ACTION
    0.95
    igent
    0.90
    aneous
    0.88
    urnal
    0.81
    elta
    0.80
    lycer
    0.77
    olated
    0.74
    ractor
    0.73
    spection
    0.72
    acy
    0.72
    Activations Density 0.061%

    No Known Activations