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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. 1895
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    INDEX
    Explanations

    years mentioned, especially in the context of events or publications

    oai_token-act-pair · gpt-3.5-turbo

    specific years and their significance in a timeline context

    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
    Not in Any Lists

    No Comments

    Negative Logits
     tire
    -0.65
    acci
    -0.64
    pex
    -0.64
     Manufacturer
    -0.64
     maple
    -0.62
    pport
    -0.61
     bip
    -0.61
    essential
    -0.61
     Module
    -0.60
     padded
    -0.59
    POSITIVE LOGITS
    AMY
    0.74
     Nicol
    0.73
     developments
    0.73
    20439
    0.67
     declass
    0.67
    gur
    0.64
    UTERS
    0.62
    tom
    0.62
    GV
    0.62
     interviewer
    0.60
    Activations Density 0.280%

    No Known Activations