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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. 7-RES-JB
    11. 20843
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    Explanations

    locations specified in units of distance (e.g., km, miles)

    oai_token-act-pair · gpt-3.5-turbo

    geographical distances and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scrib
    -0.81
    ©¶æ
    -0.73
     Choice
    -0.67
     Scare
    -0.63
     Dying
    -0.63
     Toast
    -0.63
    Asset
    -0.62
    otten
    -0.62
     Baal
    -0.62
     Fake
    -0.61
    POSITIVE LOGITS
     kilometres
    1.04
     kilometers
    0.98
     distances
    0.97
     highways
    0.84
    outheast
    0.83
    km
    0.80
     km
    0.78
     inland
    0.76
     miles
    0.76
     northwest
    0.74
    Activations Density 0.102%

    No Known Activations