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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. 19866
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    Explanations

    source code commands and snippets, particularly related to software development

    oai_token-act-pair · gpt-3.5-turbo

    elements related to advertisements and digital content formatting

    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
    essee
    -1.01
    loe
    -0.95
    gins
    -0.91
    reys
    -0.90
    ttes
    -0.88
    english
    -0.86
    imar
    -0.84
    utor
    -0.82
    bett
    -0.82
    ayne
    -0.81
    POSITIVE LOGITS
     copying
    0.69
     metic
    0.66
     Portug
    0.64
     Dropbox
    0.63
     snipp
    0.62
     rudimentary
    0.62
     transcription
    0.62
     faint
    0.60
     philosophical
    0.58
     Crypto
    0.58
    Activations Density 0.239%

    No Known Activations