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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. 13171
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    Explanations

    text related to comparisons and evaluations

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases that indicate conditions or qualifiers in statements

    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
     Doing
    -0.79
     telling
    -0.71
     Saying
    -0.70
     hopping
    -0.68
     tweeting
    -0.67
     talking
    -0.67
    ricting
    -0.65
    amaz
    -0.64
     noticing
    -0.64
    Moving
    -0.63
    POSITIVE LOGITS
     resembles
    1.12
     resembled
    1.09
     coincides
    1.07
     happened
    1.06
     existed
    1.06
     happens
    1.05
     translates
    1.04
     belonged
    1.04
     exists
    1.00
     qualifies
    0.99
    Activations Density 0.224%

    No Known Activations