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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. 22921
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    Explanations

    words related to harmful or potentially harmful actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to calculations and mathematical concepts

    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
     Blaz
    -0.80
    è¦ļéĨĴ
    -0.77
     Pilgrim
    -0.71
     ãĤµ
    -0.66
     Franks
    -0.66
     Sheen
    -0.65
     Buffett
    -0.65
     Rule
    -0.65
     Bever
    -0.64
     Metatron
    -0.64
    POSITIVE LOGITS
    cul
    1.25
    ately
    1.03
    culation
    0.98
    ision
    0.95
    entric
    0.93
    iar
    0.93
    ators
    0.92
    itic
    0.91
    culated
    0.89
    iosity
    0.89
    Activations Density 0.009%

    No Known Activations