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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
    11. 24542
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    Explanations

    terms related to different types of "ography", such as cartography, steganography, tomography, lithography, positioning, oceanography, typography, and more

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various forms of "ography," specifically different mapping or representation techniques

    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
    ŃĶ
    -0.84
    ership
    -0.75
     pasture
    -0.70
     loose
    -0.64
    tab
    -0.62
    hyde
    -0.61
    Lago
    -0.61
     unconditional
    -0.60
     sac
    -0.60
    lands
    -0.60
    POSITIVE LOGITS
    ography
    1.05
    ographer
    0.90
    ographers
    0.88
    issance
    0.80
    ogram
    0.79
    ographies
    0.74
    ographically
    0.72
    urally
    0.72
    ickr
    0.69
    ffiti
    0.68
    Activations Density 0.040%

    No Known Activations