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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. 4152
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    Explanations

    words enclosed in unusual characters

    oai_token-act-pair · gpt-3.5-turbo

    references to uncertainty or questioning

    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
    etheless
    -1.00
    conservancy
    -0.77
     lapt
    -0.76
    bda
    -0.76
     rul
    -0.73
     neighb
    -0.73
     challeng
    -0.73
     cannabin
    -0.73
    arching
    -0.70
     overloaded
    -0.70
    POSITIVE LOGITS
    Said
    0.92
    Reward
    0.90
    Wilson
    0.87
    Newsletter
    0.86
    ONSORED
    0.86
     Said
    0.84
    SPONSORED
    0.83
    ="
    0.82
    Refer
    0.82
    Official
    0.81
    Activations Density 0.344%

    No Known Activations