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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
    11. 6398
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    geographical location identifiers or city names

    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
    mitt
    -0.71
    Zero
    -0.70
     Dyn
    -0.66
     reinvest
    -0.63
     Oath
    -0.62
     Zero
    -0.61
    ãĤ©
    -0.59
    ãĤ¯
    -0.59
    venge
    -0.59
    orters
    -0.58
    POSITIVE LOGITS
    LAND
    1.18
    FIELD
    1.11
     CITY
    1.05
    HOU
    1.01
     COUNTY
    1.01
    BUR
    0.99
    MAN
    0.99
    VILLE
    0.97
    ILL
    0.96
    GROUND
    0.96
    Activations Density 0.066%

    No Known Activations