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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    mentions of the company "Tesla"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand Tesla

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥĪ
    -0.78
    olulu
    -0.76
     Plain
    -0.73
    çĦ
    -0.68
     Kerry
    -0.67
    00200000
    -0.64
     Wick
    -0.62
    croft
    -0.62
     Fargo
    -0.61
     Cork
    -0.60
    POSITIVE LOGITS
    Tesla
    1.07
     Tesla
    1.00
     Motors
    0.99
     Musk
    0.86
     coil
    0.82
     Coil
    0.80
     coils
    0.77
    igr
    0.76
    heed
    0.74
    ulic
    0.72
    Activations Density 0.009%

    No Known Activations