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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. 3-RES-JB
    11. 13289
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    Explanations

    mentions of geographic locations, particularly related to a specific county

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Champaign" location and related voting context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.81
    ©¶æ
    -0.81
     landsl
    -0.74
    etheless
    -0.73
    gypt
    -0.72
    ĻĤ
    -0.71
     predis
    -0.69
     recess
    -0.68
    avid
    -0.66
    bench
    -0.65
    POSITIVE LOGITS
    aign
    1.80
    agne
    1.74
    Champ
    1.17
     Champ
    1.16
    ione
    0.81
    het
    0.79
    Args
    0.78
     Champion
    0.76
    xon
    0.76
    neys
    0.76
    Activations Density 0.015%

    No Known Activations