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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. 0-RES-JB
    11. 12183
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    INDEX
    Explanations

    mentions of online trolls

    oai_token-act-pair · gpt-3.5-turbo

    references to internet trolls and their behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Obj
    -0.76
    Cert
    -0.76
     Certificate
    -0.76
     Ecc
    -0.73
    uba
    -0.73
     Caption
    -0.72
     Clement
    -0.72
    prem
    -0.71
     Rear
    -0.70
    Manufact
    -0.70
    POSITIVE LOGITS
     trolls
    3.75
     troll
    3.58
     trolling
    3.18
     Troll
    2.66
     bots
    1.57
     bullies
    1.56
     prank
    1.33
     spam
    1.27
     bullying
    1.26
     memes
    1.26
    Activations Density 0.030%

    No Known Activations