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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. 7967
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    Explanations

    verbs related to movement or action

    oai_token-act-pair · gpt-3.5-turbo

    actions related to gaining or retrieving something

    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
    £ı
    -0.70
     BELOW
    -0.63
     Simply
    -0.61
     convol
    -0.61
    rawdownloadcloneembedreportprint
    -0.61
     underestimated
    -0.59
    olulu
    -0.59
     spanning
    -0.59
     overshadow
    -0.58
     overboard
    -0.58
    POSITIVE LOGITS
     repairs
    0.80
    romptu
    0.71
     belongings
    0.71
     supper
    0.65
    some
    0.65
    supp
    0.65
    aphael
    0.65
     supplies
    0.64
     paperwork
    0.64
     greet
    0.63
    Activations Density 0.335%

    No Known Activations