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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. 4-RES-JB
    11. 4065
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    Explanations

    phrases related to filmmaking and film production

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles that suggest continuous action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    nery
    -0.78
    itism
    -0.77
    OPE
    -0.69
    opic
    -0.69
    iness
    -0.68
    ably
    -0.68
    present
    -0.67
    agne
    -0.67
    icles
    -0.66
    atively
    -0.65
    POSITIVE LOGITS
    tons
    1.15
     Sands
    0.93
     Rooms
    0.88
    HAM
    0.86
     Disorders
    0.85
     Hours
    0.85
    allery
    0.83
    ton
    0.83
     Dates
    0.82
     Behavior
    0.82
    Activations Density 0.099%

    No Known Activations