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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. 876
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    Explanations

    proper nouns of people or institutions followed by a verb related to speech or action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "made" in various contexts

    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
    CLOSE
    -0.77
    halla
    -0.65
    arine
    -0.63
    wr
    -0.61
    ander
    -0.61
    abil
    -0.60
     nurt
    -0.60
    hus
    -0.59
    houses
    -0.58
    atin
    -0.58
    POSITIVE LOGITS
     landfall
    1.02
     clear
    1.01
     abundantly
    1.00
     headlines
    0.99
     sure
    0.98
     noises
    0.91
     mention
    0.87
     excuses
    0.84
     explicit
    0.82
     waves
    0.81
    Activations Density 0.102%

    No Known Activations