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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. 2-RES-JB
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    Explanations

    references to a specific publication called "Sentinel"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Sentinel" and its various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perm
    -0.81
    ulates
    -0.78
    sen
    -0.76
    places
    -0.75
    ded
    -0.73
    itability
    -0.72
    erd
    -0.71
    roma
    -0.71
    shared
    -0.70
    burning
    -0.69
    POSITIVE LOGITS
     Sentinel
    1.40
    inel
    0.91
     CrossRef
    0.80
     Superior
    0.75
     Extensions
    0.74
     conclud
    0.73
     retri
    0.72
     Overs
    0.70
     Hers
    0.69
     Oro
    0.68
    Activations Density 0.010%

    No Known Activations