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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. 6-RES-JB
    11. 13690
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    Explanations

    verbs related to buying or obtaining goods or services

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to purchasing and ordering products or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vic
    -0.76
    terness
    -0.70
    bum
    -0.66
    ijk
    -0.66
    iae
    -0.63
    matter
    -0.63
    pour
    -0.62
    shall
    -0.62
    Enlarge
    -0.59
     endeavor
    -0.59
    POSITIVE LOGITS
     groceries
    0.74
     copies
    0.72
     tickets
    0.71
     them
    0.68
     new
    0.67
    matically
    0.67
     replacements
    0.67
     alternatives
    0.66
     him
    0.66
     something
    0.65
    Activations Density 0.220%

    No Known Activations