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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. 3-RES-JB
    11. 13411
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    Explanations

    references to specific time periods

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ply
    -0.91
    gd
    -0.75
    ILLE
    -0.74
    tty
    -0.72
    Always
    -0.72
    Alias
    -0.71
    Tags
    -0.68
    feat
    -0.67
    posing
    -0.67
    dain
    -0.66
    POSITIVE LOGITS
     periods
    1.21
    icals
    1.08
     period
    0.92
    period
    0.85
     Period
    0.84
    ional
    0.84
    icity
    0.79
     elapsed
    0.76
     GMT
    0.73
    ecycle
    0.72
    Activations Density 0.026%

    No Known Activations