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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. 1-RES-JB
    11. 6796
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    Explanations

    references to specific time periods or dates

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ply
    -0.89
    posing
    -0.75
    spons
    -0.69
    Rum
    -0.69
    rious
    -0.68
    SB
    -0.68
    Say
    -0.67
    pires
    -0.67
    gd
    -0.66
    REAM
    -0.65
    POSITIVE LOGITS
     periods
    1.24
    icals
    0.96
     period
    0.94
     Period
    0.92
     Ago
    0.91
    period
    0.89
     GMT
    0.80
     ago
    0.75
    ecycle
    0.75
     intervals
    0.74
    Activations Density 0.018%

    No Known Activations