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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. 0-RES-JB
    11. 13518
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    Explanations

    words related to the presence or occurrence of pests or unwanted beings, specifically infestations

    oai_token-act-pair · gpt-3.5-turbo

    words related to negative experiences or conditions, especially those involving physical or sexual exploitation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ©
    -0.78
    DonaldTrump
    -0.75
    Doug
    -0.70
    iframe
    -0.69
    videos
    -0.68
    Haw
    -0.67
    ifle
    -0.66
    aceae
    -0.66
    knife
    -0.65
    ifles
    -0.63
    POSITIVE LOGITS
    estation
    2.76
     roaming
    1.84
    typ
    1.41
     typ
    1.27
     staffing
    1.26
     congestion
    1.24
     roam
    1.12
     upt
    1.07
     Typ
    0.99
    Typ
    0.96
    Activations Density 0.039%

    No Known Activations