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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. 7-RES-JB
    11. 11778
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    Explanations

    references to the company Tesla

    oai_token-act-pair · gpt-3.5-turbo

    references to Tesla and its products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥĪ
    -0.78
    glers
    -0.69
     Fargo
    -0.67
    taker
    -0.66
    ateurs
    -0.66
    aci
    -0.65
    english
    -0.65
    meaning
    -0.65
    ournal
    -0.64
    olulu
    -0.63
    POSITIVE LOGITS
     Motors
    1.18
     Coil
    0.92
     coils
    0.80
    Mobil
    0.76
     coil
    0.74
     Powered
    0.73
    Mot
    0.72
     Musk
    0.71
    charg
    0.70
     Tesla
    0.69
    Activations Density 0.021%

    No Known Activations