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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. 6-RES-JB
    11. 7727
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    Explanations

    mentions of different types of fuels and related administrative divisions

    oai_token-act-pair · gpt-3.5-turbo

    references to types of fossil fuels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    stocks
    -0.75
    cour
    -0.66
    stock
    -0.65
    borough
    -0.65
    ppings
    -0.63
    brew
    -0.61
    tesy
    -0.61
     footing
    -0.60
    .",
    -0.60
    erton
    -0.59
    POSITIVE LOGITS
    VK
    0.74
     Victoria
    0.67
    VM
    0.67
     Dag
    0.59
    VS
    0.58
     pige
    0.58
     VK
    0.57
    umbn
    0.56
     Kali
    0.56
     Permanent
    0.55
    Activations Density 0.333%

    No Known Activations