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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 8225
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    Explanations

    mentions of law enforcement activities and crime scenes

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     veto
    -0.74
    dream
    -0.71
     sins
    -0.70
     hypocritical
    -0.67
     fab
    -0.65
    Quantity
    -0.64
     plagiar
    -0.63
     autobi
    -0.62
     nipples
    -0.62
    puff
    -0.61
    POSITIVE LOGITS
    Officers
    1.25
     paramedics
    1.13
     officers
    1.12
     forensic
    1.07
    illance
    1.06
     detectives
    1.06
     Officers
    1.05
    nsics
    1.05
     SWAT
    1.04
     police
    1.04
    Activations Density 0.430%

    No Known Activations