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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
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    Explanations

    references to different geographical locations, especially those related to oceans

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various oceans

    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
    ENCE
    -0.80
    TI
    -0.79
    Reloaded
    -0.77
    ngth
    -0.73
    TOP
    -0.70
    DOS
    -0.70
    oulder
    -0.70
    enez
    -0.70
    ERAL
    -0.68
    enance
    -0.65
    POSITIVE LOGITS
     Ocean
    1.26
    ographer
    0.93
     Atlantic
    0.87
     Basin
    0.85
    odon
    0.85
    Ocean
    0.84
     Spray
    0.83
     Seas
    0.82
    cean
    0.81
    front
    0.81
    Activations Density 0.009%

    No Known Activations