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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. 8472
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    Explanations

    mentions of SM (possibly referring to "social media") with varying levels of activations

    oai_token-act-pair · gpt-3.5-turbo

    references to social media platforms

    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
     Ved
    -0.76
     Gamergate
    -0.76
    ãĥĥãĥĪ
    -0.74
     Frie
    -0.72
    ãĤ¡
    -0.71
     Lyme
    -0.71
    icular
    -0.68
    ãĥĥ
    -0.68
     Cerberus
    -0.67
     Kavanaugh
    -0.67
    POSITIVE LOGITS
    ITH
    0.97
    ooth
    0.95
    ugg
    0.92
    ould
    0.89
    ASH
    0.88
    iley
    0.86
    achine
    0.85
    ART
    0.85
    oke
    0.84
    oby
    0.84
    Activations Density 0.006%

    No Known Activations