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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. 11-RES-JB
    11. 12011
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    Explanations

    names or parts of names related to a specific organization or individual

    oai_token-act-pair · gpt-3.5-turbo

    instances of specific vowel patterns or sounds in words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lash
    -0.66
     bells
    -0.60
    emonium
    -0.57
     lightning
    -0.56
    rella
    -0.55
     duly
    -0.54
     ropes
    -0.54
     awe
    -0.54
     greeting
    -0.54
     Rampage
    -0.53
    POSITIVE LOGITS
    ffe
    0.92
    pez
    0.87
    ds
    0.84
    cester
    0.82
    ufact
    0.80
    monds
    0.75
    zinski
    0.75
    wyn
    0.74
    der
    0.74
    ving
    0.73
    Activations Density 0.104%

    No Known Activations