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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. 18283
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    Explanations

    words related to geographical locations, particularly concerning oceans or continents

    oai_token-act-pair · gpt-3.5-turbo

    words related to geographic locations

    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
    mson
    -0.80
    kson
    -0.74
    ãĤµ
    -0.73
    CLE
    -0.71
    jriwal
    -0.67
    ttle
    -0.62
    HCR
    -0.62
    GBT
    -0.59
    glers
    -0.59
    ======
    -0.58
    POSITIVE LOGITS
    ragon
    1.04
    ering
    1.00
    orf
    0.99
    erer
    0.91
    iverse
    0.85
    iscover
    0.83
    erers
    0.82
    oggles
    0.82
    rive
    0.81
    ition
    0.81
    Activations Density 0.033%

    No Known Activations