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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. 4-RES-JB
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    Explanations

    locations in Washington, DC

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Washington, DC

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

    No Comments

    Negative Logits
    blem
    -0.85
    pects
    -0.82
    lihood
    -0.82
    gger
    -0.81
    âķIJâķIJ
    -0.80
    VALUE
    -0.76
    stery
    -0.71
    ãĤ¯
    -0.71
     myster
    -0.69
    ãĤ©
    -0.69
    POSITIVE LOGITS
    NF
    0.86
     Comics
    0.86
     metro
    0.77
    OTUS
    0.72
     DC
    0.72
     metropolitan
    0.72
     resident
    0.71
     Metropolitan
    0.68
    anyon
    0.68
    ADA
    0.67
    Activations Density 0.008%

    No Known Activations