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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. 3061
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    Explanations

    references to the automotive industry

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "automakers" and related terms

    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
    lihood
    -0.69
    zman
    -0.69
     Jed
    -0.68
     Pell
    -0.67
    EF
    -0.66
    LEY
    -0.66
     Mara
    -0.66
    gerald
    -0.64
    ÏĤ
    -0.63
    patrick
    -0.62
    POSITIVE LOGITS
    otive
    1.74
    obile
    1.59
    obiles
    1.50
    obil
    1.30
    otor
    1.20
    atically
    1.15
    aker
    1.13
    agic
    1.10
    aton
    1.08
    puter
    1.07
    Activations Density 0.058%

    No Known Activations