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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. 7-RES-JB
    11. 9337
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    Explanations

    words and phrases related to legal matters and court orders

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiments or criticisms, particularly those associated with trust issues or skepticism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kenny
    -0.73
     Fitz
    -0.71
     iP
    -0.70
     âľ
    -0.69
     Simon
    -0.69
     BBC
    -0.68
     Bj
    -0.68
     Helic
    -0.68
     âĺ
    -0.67
     Cow
    -0.66
    POSITIVE LOGITS
    bodied
    1.19
    deal
    1.12
    related
    1.07
    repeat
    1.02
    family
    1.02
    based
    1.01
    induced
    1.00
    issue
    1.00
    themed
    1.00
    payment
    1.00
    Activations Density 0.123%

    No Known Activations