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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 11287
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    Explanations

    lowercase words with 'ut' followed by a number between 3 and 10

    oai_token-act-pair · gpt-3.5-turbo

    words related to "cut" or "cutting."

    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
     compr
    -0.77
     challeng
    -0.67
    nect
    -0.64
     gulf
    -0.64
    issance
    -0.64
    isSpecialOrderable
    -0.63
     resil
    -0.62
    wcs
    -0.62
    cale
    -0.62
     contrasting
    -0.62
    POSITIVE LOGITS
    ierrez
    1.40
    iful
    1.22
    rition
    1.20
    opian
    1.19
    tle
    1.16
    ifully
    1.12
    rient
    1.11
    anamo
    1.09
    opia
    1.07
    ilitarian
    1.07
    Activations Density 0.028%

    No Known Activations