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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
    11. 21056
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    kson
    -0.72
    lins
    -0.72
    okia
    -0.70
    NetMessage
    -0.68
    lique
    -0.68
    gered
    -0.67
    enne
    -0.66
     Kinnikuman
    -0.64
    cloth
    -0.63
    zie
    -0.62
    POSITIVE LOGITS
     safeguards
    1.07
     safegu
    0.99
     safeguard
    0.87
    saf
    0.84
     protecting
    0.81
    arding
    0.78
     Ensure
    0.78
     protects
    0.76
     Survive
    0.76
     ensuring
    0.74
    Activations Density 0.017%

    No Known Activations