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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. 5279
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    Explanations

    names and ages of individuals involved in criminal activities

    oai_token-act-pair · gpt-3.5-turbo
    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
    ettings
    -0.69
    âĦ¢:
    -0.62
    EngineDebug
    -0.62
    Characters
    -0.59
    inces
    -0.55
    ================================================================
    -0.55
    ageddon
    -0.55
    parency
    -0.55
    ibilities
    -0.55
    uce
    -0.54
    POSITIVE LOGITS
     29
    1.17
     26
    1.16
     33
    1.16
     34
    1.16
     37
    1.16
     31
    1.15
     35
    1.15
     27
    1.15
     41
    1.14
     28
    1.13
    Activations Density 0.148%

    No Known Activations