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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. 679
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    INDEX
    Explanations

    phrases related to observing or examining something closely

    oai_token-act-pair · gpt-3.5-turbo

    descriptive phrases related to visual experiences or observations

    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
     facult
    -0.64
     deletion
    -0.61
     Mods
    -0.60
     Commit
    -0.59
    oku
    -0.59
     inval
    -0.59
     manifesto
    -0.58
     Done
    -0.58
     fertility
    -0.58
     terminating
    -0.58
    POSITIVE LOGITS
     glimps
    1.56
     glimpse
    1.55
     viewing
    1.34
     behold
    1.21
     watching
    1.18
     witness
    1.17
     witnessing
    1.17
     watched
    1.16
     view
    1.15
     witnessed
    1.14
    Activations Density 1.115%

    No Known Activations