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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. 23795
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    Explanations

    descriptions or explanations on how something works

    oai_token-act-pair · gpt-3.5-turbo

    phrases explaining how something functions or operates

    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
    intage
    -0.78
    miss
    -0.73
    icons
    -0.66
    voy
    -0.65
    gart
    -0.64
    acco
    -0.63
    hawks
    -0.62
     Shal
    -0.62
    inia
    -0.61
    gur
    -0.61
    POSITIVE LOGITS
     proced
    0.77
     disse
    0.73
    :[
    0.72
     eth
    0.70
     Procedure
    0.69
     Myster
    0.69
    _.
    0.68
     differently
    0.68
     Proced
    0.67
    ?:
    0.66
    Activations Density 0.057%

    No Known Activations