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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. 7-RES-JB
    11. 18676
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    Explanations

    phrases related to economic terms and financial activities

    oai_token-act-pair · gpt-3.5-turbo

    references to financial concepts and taxation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    phrine
    -0.82
    xual
    -0.75
    yip
    -0.63
    arcity
    -0.61
     Wax
    -0.60
     rapt
    -0.59
    itiveness
    -0.59
     Remastered
    -0.58
    piring
    -0.58
     drinks
    -0.58
    POSITIVE LOGITS
    igham
    0.78
    ittal
    0.77
    reau
    0.76
    imble
    0.72
    ij士
    0.71
    tein
    0.69
    taboola
    0.68
    overe
    0.68
    operated
    0.68
    emort
    0.67
    Activations Density 0.643%

    No Known Activations