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    1. Home
    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. 965
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    oai_token-act-pair · gpt-3.5-turbo

    instances of significant numerical or statistical data

    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
     utilizing
    -0.88
     favorably
    -0.86
     honored
    -0.86
     utilized
    -0.85
     totaling
    -0.82
     Hawaiian
    -0.79
     afterward
    -0.78
     counselors
    -0.78
     honors
    -0.77
     honoring
    -0.77
    POSITIVE LOGITS
    alys
    1.23
     Whilst
    1.22
    BBC
    1.20
    Shape
    1.19
    Labour
    1.17
     analyse
    1.16
     realise
    1.15
    Britain
    1.14
     (£
    1.13
     £
    1.12
    Activations Density 0.463%

    No Known Activations