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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. 3-RES-JB
    11. 6148
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    Explanations

    references to wartime-related terms and events

    oai_token-act-pair · gpt-3.5-turbo

    references to wartime and postwar contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Course
    -0.78
    BOOK
    -0.76
    ARB
    -0.75
    uana
    -0.73
    ²¾
    -0.70
    iquid
    -0.69
    antis
    -0.68
    cin
    -0.67
    ergy
    -0.67
    Parameter
    -0.66
    POSITIVE LOGITS
     poppy
    0.89
     wartime
    0.87
     1914
    0.82
     Osw
    0.80
     Remem
    0.80
    ilitary
    0.76
     1939
    0.75
     barracks
    0.74
     commemor
    0.73
     overseas
    0.72
    Activations Density 0.017%

    No Known Activations