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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
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    terms related to thieves or theft

    oai_token-act-pair · gpt-3.5-turbo

    terms related to thieves and robbery

    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
    akeru
    -0.73
    zl
    -0.73
    ANA
    -0.67
    shr
    -0.63
     Pwr
    -0.63
    ellar
    -0.63
    formation
    -0.63
     Veter
    -0.62
    reality
    -0.62
    ahu
    -0.62
    POSITIVE LOGITS
     thief
    1.16
     thieves
    1.10
     Thieves
    0.89
     prey
    0.89
    sonian
    0.88
     Thief
    0.87
     robbers
    0.87
     burg
    0.83
     robber
    0.81
     guild
    0.81
    Activations Density 0.012%

    No Known Activations