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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. 12-RES-JB
    11. 3849
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    Explanations

    descriptions of suspects in criminal incidents

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    information about suspects in criminal incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     wob
    -0.72
    itect
    -0.69
    bench
    -0.67
     architect
    -0.67
    loading
    -0.66
     centrif
    -0.65
    Bench
    -0.64
     scaff
    -0.63
    abus
    -0.62
    ocratic
    -0.62
    POSITIVE LOGITS
     Crime
    1.38
    Crime
    1.32
     Crim
    1.27
     anonymously
    1.17
     Victims
    1.10
     Detective
    1.09
     Crimes
    1.08
    Tips
    1.06
     detectives
    1.04
     Victim
    1.03
    Activations Density 0.255%

    No Known Activations