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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. 9-RES-JB
    11. 19825
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    Explanations

    information related to law enforcement actions and criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement actions and significant events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Maps
    -0.95
    ĸļ
    -0.92
     Izan
    -0.91
    Filename
    -0.84
     Parables
    -0.82
    Aid
    -0.82
     Caption
    -0.81
     Canaver
    -0.80
    Mods
    -0.79
    speak
    -0.78
    POSITIVE LOGITS
     pet
    0.81
     auto
    0.81
     horse
    0.80
     hydro
    0.75
     drug
    0.75
     dog
    0.74
     automobile
    0.72
     automotive
    0.71
     fugitive
    0.71
    plet
    0.70
    Activations Density 0.125%

    No Known Activations