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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
    11. 21919
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    Explanations

    mentions of specific drug names

    oai_token-act-pair · gpt-3.5-turbo

    specific names, particularly characters or entities related to a narrative or study

    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
    ãģĦ
    -0.75
    ODUCT
    -0.71
     PLAN
    -0.69
    utterstock
    -0.68
    UME
    -0.67
    mberg
    -0.65
    ãĤ¤ãĥĪ
    -0.65
    WORK
    -0.65
    IELD
    -0.63
    Keefe
    -0.63
    POSITIVE LOGITS
     Duc
    1.23
    rative
    0.89
    otom
    0.79
    ress
    0.79
    aste
    0.78
    ione
    0.78
    hene
    0.78
    rys
    0.78
    iste
    0.76
    rique
    0.75
    Activations Density 0.005%

    No Known Activations