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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. 11-RES-JB
    11. 13456
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    INDEX
    Explanations

    words related to places or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific titles or phrases related to films and storytelling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anton
    -0.96
    arial
    -0.88
    prus
    -0.84
    reon
    -0.82
    berra
    -0.81
    marg
    -0.80
    hiba
    -0.79
    HA
    -0.78
    idi
    -0.77
     princ
    -0.77
    POSITIVE LOGITS
     Pain
    1.02
     Beginning
    0.97
     Feet
    0.94
     Wrath
    0.94
     Years
    0.93
     Ride
    0.92
     Furious
    0.91
     Revenge
    0.91
     Thrones
    0.90
     Memories
    0.90
    Activations Density 0.143%

    No Known Activations