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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. 11-RES-JB
    11. 3862
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    Explanations

    words related to crime and law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    elements related to emergencies and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tow
    -0.93
    aid
    -0.86
     Rapt
    -0.82
     TY
    -0.80
    ult
    -0.77
     Tou
    -0.77
     AQ
    -0.76
     Turner
    -0.75
    ATOR
    -0.75
    OU
    -0.74
    POSITIVE LOGITS
    jen
    0.79
     Nebula
    0.78
    dan
    0.78
    neys
    0.77
    ylan
    0.77
     gir
    0.77
     Gron
    0.76
    rons
    0.75
    elman
    0.74
    Dan
    0.74
    Activations Density 0.416%

    No Known Activations