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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. 1-RES-JB
    11. 14112
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    Explanations

    verbs related to actions or efforts

    oai_token-act-pair · gpt-3.5-turbo

    references to attempts or efforts in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Foot
    -0.76
     Origin
    -0.72
    riger
    -0.70
    minus
    -0.68
     Shining
    -0.66
     Blessed
    -0.66
    Heat
    -0.65
     Wrap
    -0.62
     Angels
    -0.62
     Sacred
    -0.62
    POSITIVE LOGITS
     attempt
    1.15
     attempts
    1.03
    Attempts
    1.00
     unsuccessfully
    0.86
    urdue
    0.81
     attempted
    0.81
    resses
    0.79
    fred
    0.78
     Attempt
    0.76
    ments
    0.75
    Activations Density 0.014%

    No Known Activations