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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. 4-RES-JB
    11. 13200
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    Explanations

    phrases related to the act of educating or educating others

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of educating

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    arella
    -0.68
    oter
    -0.66
     transporter
    -0.64
    imposed
    -0.64
     odds
    -0.63
    abba
    -0.63
    onement
    -0.61
    odder
    -0.61
    apa
    -0.58
     annexed
    -0.58
    POSITIVE LOGITS
     educate
    0.92
    Educ
    0.91
    ments
    0.90
    yout
    0.84
     educ
    0.83
    Initialized
    0.82
    ItemImage
    0.82
     educating
    0.79
    ¿½
    0.78
    tackle
    0.78
    Activations Density 0.023%

    No Known Activations