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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. 9-RES-JB
    11. 22771
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    Explanations

    phrases related to sequential rounds or iterations

    oai_token-act-pair · gpt-3.5-turbo

    references to different rounds in a sequence or process

    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
    ufact
    -0.71
    earch
    -0.69
    aith
    -0.67
     Beckham
    -0.64
    acca
    -0.63
     Hots
    -0.63
     Fas
    -0.63
     Jong
    -0.62
    sels
    -0.62
    uras
    -0.62
    POSITIVE LOGITS
    trip
    1.16
    table
    1.07
    about
    1.06
     rob
    1.04
    abouts
    1.00
    naire
    0.91
    worms
    0.88
    stakes
    0.83
    naires
    0.82
    tri
    0.81
    Activations Density 0.026%

    No Known Activations