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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. 12194
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    INDEX
    Explanations

    incidents or events related to negative outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating various types of severe setbacks or negative events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.78
     Sites
    -0.76
    INTON
    -0.73
    lished
    -0.72
     Sands
    -0.68
    ETF
    -0.68
     answ
    -0.67
     Stores
    -0.66
    Secure
    -0.65
    ilts
    -0.65
    POSITIVE LOGITS
     trauma
    1.06
     severe
    1.06
     setback
    1.05
     setbacks
    1.03
     meltdown
    0.99
     loss
    0.98
     debilitating
    0.96
     injuries
    0.95
     wrath
    0.95
     illness
    0.94
    Activations Density 0.160%

    No Known Activations