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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. 2-RES-JB
    11. 22024
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    Explanations

    names and phrases related to a specific geographical location (Bahamas in this case)

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Bah" and its variations, indicating a focus on a specific cultural or geographic context related to "Bahamas" or similar terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     litter
    -0.66
    guard
    -0.65
     UNIVERS
    -0.64
    essee
    -0.64
    ãĤī
    -0.63
     fixation
    -0.63
    apers
    -0.60
    benefit
    -0.60
    chnology
    -0.60
    opic
    -0.60
    POSITIVE LOGITS
    renheit
    1.06
     Bah
    1.01
    ibur
    0.90
    ®
    0.88
    aii
    0.88
    undo
    0.87
    asa
    0.84
    ongo
    0.82
    ttp
    0.82
    ani
    0.81
    Activations Density 0.005%

    No Known Activations