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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. 15679
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    single-letter or short names that likely refer to people or entities

    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
     wide
    -0.73
     Driving
    -0.67
     Wide
    -0.65
     projector
    -0.65
     ****
    -0.64
     fluorescent
    -0.63
     ��������
    -0.62
     1600
    -0.62
     ***
    -0.62
     DISTRICT
    -0.61
    POSITIVE LOGITS
    ipp
    0.96
    utter
    0.89
    lem
    0.88
    ourn
    0.87
    aren
    0.87
    essel
    0.85
    airo
    0.84
    isner
    0.84
    ubb
    0.84
    iller
    0.84
    Activations Density 0.183%

    No Known Activations