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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

    phrases related to locations, particularly focusing on the mention of "Delaware"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the state of Delaware

    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
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    No Comments

    Negative Logits
    andr
    -0.77
    76561
    -0.74
    atic
    -0.70
    icles
    -0.68
    thumbnails
    -0.68
    istic
    -0.67
    nings
    -0.66
    ¶æ
    -0.66
    senal
    -0.66
    ĪĴ
    -0.64
    POSITIVE LOGITS
     Delaware
    1.03
     Downs
    0.75
    wine
    0.72
     County
    0.72
    grass
    0.71
    sylvania
    0.71
    mouth
    0.69
    icut
    0.69
    ree
    0.69
     Rapids
    0.69
    Activations Density 0.006%

    No Known Activations