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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. 6-RES-JB
    11. 14417
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    Explanations

    phrases related to surveillance and data collection

    oai_token-act-pair · gpt-3.5-turbo

    references to surveillance and data collection practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.79
     Dise
    -0.73
    boat
    -0.68
    ukemia
    -0.68
    çĶ°
    -0.66
    aneers
    -0.65
    uph
    -0.65
     Heal
    -0.65
    reci
    -0.64
    Brew
    -0.64
    POSITIVE LOGITS
     encrypted
    1.34
     passwords
    1.23
     spying
    1.22
     Privacy
    1.20
     encryption
    1.19
     privacy
    1.15
    illance
    1.13
     fingerprints
    1.11
     surveillance
    1.08
     NSA
    1.07
    Activations Density 0.955%

    No Known Activations