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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. 10-RES-JB
    11. 11179
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    Explanations

    names of physical locations

    oai_token-act-pair · gpt-3.5-turbo

    words related to "debt" and "vehicle" contexts, especially in terms of prevalence and classification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Wilde
    -0.76
     Immunity
    -0.64
     McKenna
    -0.61
     nails
    -0.61
    ©¶æ¥µ
    -0.60
     Unch
    -0.58
     Phelps
    -0.58
     Elves
    -0.58
     Huntington
    -0.57
     clen
    -0.57
    POSITIVE LOGITS
    ruction
    1.11
    tenance
    1.09
    yright
    1.06
    artment
    1.05
    ipment
    1.02
    istant
    1.01
    istance
    1.00
    ousand
    1.00
    icipated
    0.97
    ility
    0.97
    Activations Density 0.194%

    No Known Activations