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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. 9-RES-JB
    11. 8944
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    Explanations

    references to complaints and related actions such as filing complaints, investigating complaints, and receiving complaints

    oai_token-act-pair · gpt-3.5-turbo

    mentions of complaints

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    enta
    -0.74
    obs
    -0.74
    raham
    -0.73
    shock
    -0.72
    eton
    -0.71
    hered
    -0.71
    odes
    -0.71
    cheat
    -0.69
    eele
    -0.68
    eston
    -0.67
    POSITIVE LOGITS
     alleging
    1.17
     lodged
    1.16
     filed
    1.07
     complaints
    1.05
     complaint
    1.01
     against
    1.00
     alleges
    0.95
     levied
    0.91
     leveled
    0.88
     redress
    0.85
    Activations Density 0.054%

    No Known Activations