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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. 23839
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    Explanations

    descriptions of criminal activities and pursuits

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases associated with fleeing or escaping from a situation

    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
     OLED
    -0.73
     panel
    -0.70
     Ratings
    -0.66
    RM
    -0.65
    Pain
    -0.64
     panels
    -0.62
     imbalance
    -0.62
     Subcommittee
    -0.62
     quirks
    -0.61
     dues
    -0.60
    POSITIVE LOGITS
     fleeing
    1.05
     fled
    1.02
    nown
    0.96
     flee
    0.88
     directions
    0.86
    earchers
    0.83
     escape
    0.82
     pursued
    0.82
     hitch
    0.82
     chase
    0.81
    Activations Density 0.427%

    No Known Activations