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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. 12525
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    Explanations

    verbs related to achieving victory or success

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to winning or success

    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
    resa
    -0.70
    aven
    -0.61
    arin
    -0.59
    rehens
    -0.59
    loo
    -0.58
    opian
    -0.58
    iso
    -0.57
    çīĪ
    -0.56
     Trace
    -0.55
    oman
    -0.55
    POSITIVE LOGITS
    now
    1.13
     hearts
    0.99
     prizes
    0.92
     championships
    0.90
    nings
    0.88
     battles
    0.87
     victories
    0.84
     awards
    0.83
     elections
    0.83
     medals
    0.82
    Activations Density 0.054%

    No Known Activations