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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. 21801
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    Explanations

    names of individuals, particularly with the name "Laurence/Laurence" being the most prominent

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals with the name "Laurel" or similar variations

    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
    INESS
    -0.89
    ressing
    -0.71
    ilation
    -0.69
    anooga
    -0.68
    overed
    -0.68
    rawn
    -0.66
    ramid
    -0.64
    è¦ļéĨĴ
    -0.64
    imation
    -0.63
    ItemTracker
    -0.63
    POSITIVE LOGITS
    nce
    1.16
     Laure
    0.91
    nda
    0.89
    nd
    0.84
    lda
    0.81
    ndra
    0.81
     laureate
    0.77
    mary
    0.76
    acy
    0.75
    tta
    0.72
    Activations Density 0.047%

    No Known Activations