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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. 4-RES-JB
    11. 14427
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    Explanations

    verbs related to observation or surveillance

    oai_token-act-pair · gpt-3.5-turbo

    words related to surveillance and data collection

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

    No Comments

    Negative Logits
     dodge
    -0.69
     Gaul
    -0.66
    rongh
    -0.65
     guarant
    -0.61
    ioch
    -0.61
    {"
    -0.60
     wielded
    -0.60
     Sachs
    -0.60
     dod
    -0.60
    rael
    -0.58
    POSITIVE LOGITS
    schild
    0.87
    illance
    0.85
     Annotations
    0.77
    istan
    0.72
    cliffe
    0.69
    isson
    0.68
    achment
    0.67
    igm
    0.66
    jri
    0.66
    essional
    0.65
    Activations Density 0.071%

    No Known Activations