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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. 24009
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    Explanations

    mentions of the word "Mar" followed by a specific word, potentially indicating a specific entity or topic

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Mar" in various contexts

    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
    éĹĺ
    -0.75
     tray
    -0.73
    é¾įå¥ij士
    -0.69
    ħĭ
    -0.64
    FUL
    -0.61
    代
    -0.60
     gearing
    -0.60
    ãĤĮ
    -0.60
    âĶģ
    -0.59
     Dangerous
    -0.59
    POSITIVE LOGITS
    riages
    1.22
    ches
    1.17
    riage
    1.12
    lene
    1.12
    ried
    1.10
    chers
    1.06
    cell
    1.05
    ussia
    1.00
    rying
    0.99
    auder
    0.99
    Activations Density 0.021%

    No Known Activations