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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. 15838
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    Explanations

    adjectives describing fast action or short duration

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "quick."

    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
    âĹ¼
    -0.83
    rights
    -0.72
    Interstitial
    -0.72
    ukong
    -0.68
    çĶ°
    -0.68
    quality
    -0.68
    åĨ
    -0.66
    amus
    -0.66
    obyl
    -0.66
    Ãį
    -0.64
    POSITIVE LOGITS
    aneously
    1.05
     glance
    0.96
    ened
    0.90
     succession
    0.89
    itude
    0.88
     turnaround
    0.86
     reactions
    0.84
     quick
    0.83
     enough
    0.82
     reaction
    0.81
    Activations Density 0.010%

    No Known Activations