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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. 10-RES-JB
    11. 23359
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    Explanations

    phrases related to losing something, such as cards, people, or time

    oai_token-act-pair · gpt-3.5-turbo

    references to loss or quantities associated with losing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çīĪ
    -0.74
    POL
    -0.72
     Viol
    -0.71
    EEP
    -0.68
    warn
    -0.63
    spection
    -0.63
    DEBUG
    -0.63
    Pen
    -0.63
    agonists
    -0.63
    furt
    -0.63
    POSITIVE LOGITS
     limbs
    1.04
     credibility
    0.99
     virginity
    0.97
     limb
    0.97
     momentum
    0.96
     valuable
    0.95
     foothold
    0.92
     precious
    0.89
     pounds
    0.89
     competitiveness
    0.89
    Activations Density 0.116%

    No Known Activations