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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. 5673
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    Explanations

    words related to receiving acknowledgment or approval for one's actions or achievements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to formal acknowledgment or awards

    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
    acid
    -0.66
     Ruff
    -0.63
    acci
    -0.63
    avy
    -0.61
     plotted
    -0.59
    yss
    -0.59
     Zan
    -0.59
     Ocean
    -0.58
    redict
    -0.58
     Penal
    -0.57
    POSITIVE LOGITS
    ibility
    0.94
     recognition
    0.92
    DragonMagazine
    0.85
     recognizing
    0.81
    itarian
    0.79
     acknowledgment
    0.78
    recogn
    0.78
    parency
    0.78
     acknowledgement
    0.77
    giving
    0.77
    Activations Density 0.012%

    No Known Activations