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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. 12-RES-JB
    11. 2559
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    Explanations

    Photoshop

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to photography or visual imagery

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    WAY
    -0.62
     prisoner
    -0.61
    hower
    -0.61
     duty
    -0.60
    ras
    -0.59
     respects
    -0.59
    HAEL
    -0.58
    raz
    -0.58
     responsibilities
    -0.57
     count
    -0.57
    POSITIVE LOGITS
    opped
    0.83
    oppy
    0.70
    um
    0.69
    oot
    0.63
    estern
    0.63
    ums
    0.63
    anut
    0.60
     Guides
    0.60
    rehens
    0.59
     Marketable
    0.58
    Activations Density 0.175%

    No Known Activations