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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. 5-RES-JB
    6. 9993
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    Explanations

    words ending in "ly" that describe something

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that modify descriptions or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apixel
    -0.76
    venge
    -0.68
     paycheck
    -0.67
    rouse
    -0.62
    utm
    -0.61
    ocene
    -0.60
     throats
    -0.60
    elf
    -0.59
    igers
    -0.59
     cavity
    -0.59
    POSITIVE LOGITS
     importantly
    0.77
    Ħ¢
    0.74
     interestingly
    0.71
     controvers
    0.67
     though
    0.67
     Ironically
    0.67
    NESS
    0.67
    ional
    0.66
    entimes
    0.65
    nown
    0.64
    Activations Density 0.050%

    No Known Activations