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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. 15219
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    Explanations

    numerical or alphanumeric patterns, specifically recognizing sequences like "G-7" or words with numbers and symbols in them

    oai_token-act-pair · gpt-3.5-turbo

    terms related to government or administrative sectors

    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
    Shell
    -0.76
    ãĤ´ãĥ³
    -0.72
    netflix
    -0.68
    coni
    -0.65
    ãĤ¼
    -0.65
    SON
    -0.63
    Cola
    -0.63
    nesday
    -0.61
    Doc
    -0.61
    SK
    -0.61
    POSITIVE LOGITS
     populated
    0.73
     Higher
    0.69
     respectively
    0.68
     guiActiveUnfocused
    0.67
    overe
    0.67
     contiguous
    0.65
     bordering
    0.64
    ensity
    0.62
    cture
    0.61
    rossover
    0.61
    Activations Density 0.989%

    No Known Activations