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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. 3-RES-JB
    11. 5742
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    Explanations

    words related to things that are hidden, covered, or not fully presented

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of being "under" or "undermined."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.89
    anwhile
    -0.87
    azines
    -0.85
    ebus
    -0.85
    pheus
    -0.85
    ppo
    -0.79
    ORY
    -0.79
    zzo
    -0.78
    ongyang
    -0.77
    ramid
    -0.77
    POSITIVE LOGITS
    iscovered
    0.82
    ec
    0.82
    ated
    0.81
    aunted
    0.81
    ications
    0.81
    oub
    0.80
    irect
    0.80
    oubt
    0.78
    rift
    0.78
    rep
    0.77
    Activations Density 0.007%

    No Known Activations