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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. 7-RES-JB
    11. 9746
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    Explanations

    phrases expressing a strong intention or effort to do something

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing actions to achieve goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sent
    -0.69
     Corpus
    -0.67
     Creed
    -0.66
     Falling
    -0.64
     Lie
    -0.61
     Topic
    -0.60
     Led
    -0.59
     Phi
    -0.59
     Cue
    -0.59
     Scenes
    -0.59
    POSITIVE LOGITS
     endeav
    1.01
    finder
    0.81
     minimizing
    0.81
     respecting
    0.81
     shielding
    0.80
     documenting
    0.80
     diligently
    0.80
     tirelessly
    0.78
     valiant
    0.77
     effort
    0.73
    Activations Density 0.230%

    No Known Activations