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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. 10-RES-JB
    11. 5744
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    Explanations

    phrases related to hardcover books or hard drives

    oai_token-act-pair · gpt-3.5-turbo

    references to hard drives or hard copy items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amera
    -0.75
     McCull
    -0.70
     Newsp
    -0.66
    uador
    -0.65
     Scha
    -0.64
     Tyrann
    -0.63
    uberty
    -0.63
    umbn
    -0.62
     Gould
    -0.62
     Tot
    -0.61
    POSITIVE LOGITS
    wired
    1.21
    working
    1.19
    coded
    1.17
    cover
    1.14
    wood
    1.10
    disk
    1.09
    core
    1.08
    ening
    1.06
    woods
    1.05
    copy
    1.05
    Activations Density 0.031%

    No Known Activations