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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. 10629
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    Explanations

    items or objects that are being described or mentioned

    oai_token-act-pair · gpt-3.5-turbo

    relative clauses or descriptive phrases in the text

    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
    done
    -0.68
    doing
    -0.66
    anton
    -0.64
     mindful
    -0.63
     VIDEOS
    -0.63
    ————
    -0.63
    ional
    -0.61
     focusing
    -0.60
     Thoughts
    -0.60
    ONE
    -0.59
    POSITIVE LOGITS
     resembles
    1.11
     protr
    1.08
     belonged
    1.02
     attaches
    1.01
     corresponds
    1.01
     weighs
    1.00
     accompanies
    1.00
     belongs
    0.99
     sits
    0.95
     emits
    0.95
    Activations Density 0.221%

    No Known Activations