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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. 3-RES-JB
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    Explanations

    references to the telecommunications company "BT"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company "BT."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afort
    -1.04
    CVE
    -1.00
    pmwiki
    -0.96
     CVE
    -0.71
    ufact
    -0.70
     Archdemon
    -0.69
    ktop
    -0.66
     convol
    -0.65
    atically
    -0.65
    nesota
    -0.64
    POSITIVE LOGITS
    terness
    1.04
    reated
    0.92
    uning
    0.87
    ree
    0.86
    ypes
    0.80
    imes
    0.79
    heon
    0.78
    TL
    0.77
    rell
    0.76
    rees
    0.75
    Activations Density 0.007%

    No Known Activations