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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7302
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    Explanations

    phrases related to negative events or setbacks

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant negative events or losses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sites
    -0.74
    soDeliveryDate
    -0.74
     Deadline
    -0.73
    Registered
    -0.71
    posted
    -0.71
     Places
    -0.70
     Stores
    -0.69
    posts
    -0.66
     Lies
    -0.66
    INTON
    -0.66
    POSITIVE LOGITS
     paralysis
    0.94
     wrath
    0.92
     trauma
    0.92
     firsthand
    0.88
     severe
    0.88
     hardships
    0.88
    parable
    0.88
     loss
    0.87
     transformation
    0.86
     debilitating
    0.85
    Activations Density 0.176%

    No Known Activations