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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. 4-RES-JB
    11. 11003
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    Explanations

    references to physical locations like casinos

    oai_token-act-pair · gpt-3.5-turbo

    references to casinos and gambling establishments

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

    No Comments

    Negative Logits
    umbnail
    -0.78
     Matter
    -0.74
    reads
    -0.73
    matter
    -0.71
    ħ
    -0.69
    rity
    -0.69
    chen
    -0.66
    andro
    -0.66
    20439
    -0.66
    atter
    -0.66
    POSITIVE LOGITS
     Royale
    1.23
     casinos
    1.08
     casino
    1.07
     gambling
    1.03
    eers
    0.97
     Casino
    0.92
    NRS
    0.81
    regate
    0.80
     Resort
    0.75
    eering
    0.74
    Activations Density 0.015%

    No Known Activations