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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5638
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    Explanations

    years or decades, especially in the context of specific time periods

    oai_token-act-pair · gpt-3.5-turbo

    mentions of decades and years

    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
     apt
    -0.59
    REDACTED
    -0.59
     Recommend
    -0.59
     faint
    -0.59
    abiding
    -0.58
     waivers
    -0.57
     768
    -0.56
     702
    -0.56
     413
    -0.56
     419
    -0.55
    POSITIVE LOGITS
    ixties
    1.21
    -'
    1.19
    enium
    0.81
    ieth
    0.78
    lins
    0.77
     era
    0.76
     twenties
    0.75
    idental
    0.75
    teenth
    0.74
    eties
    0.74
    Activations Density 0.083%

    No Known Activations