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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. 2-RES-JB
    11. 5698
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    Explanations

    mentions of specific geographical locations or entities, particularly related to sports teams like AZ, TN, WI, and MN

    oai_token-act-pair · gpt-3.5-turbo

    mentions of geographical locations, particularly states and regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acters
    -0.84
    stic
    -0.82
    Diamond
    -0.76
    ãĤ¨ãĥ«
    -0.73
    amins
    -0.73
    toggle
    -0.72
    tainment
    -0.72
    ãĥ©
    -0.71
    esome
    -0.71
    ãĤ±
    -0.70
    POSITIVE LOGITS
    LC
    0.86
    OL
    0.85
    IL
    0.82
    FF
    0.82
    LS
    0.79
    VA
    0.79
    AG
    0.78
    GA
    0.78
    FR
    0.78
    FL
    0.77
    Activations Density 0.021%

    No Known Activations