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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 16136
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cius
    -0.84
    ues
    -0.81
    ongs
    -0.81
    UE
    -0.76
    urances
    -0.75
    ies
    -0.75
    ortun
    -0.72
    eer
    -0.71
    clair
    -0.69
    hift
    -0.68
    POSITIVE LOGITS
    âĢİ
    1.20
     âĢİ
    0.84
    ãĥĺãĥ©
    0.68
    Todd
    0.67
    STEM
    0.67
    lot
    0.66
    ICAN
    0.66
    ãĤ¼ãĤ¦ãĤ¹
    0.66
    EMBER
    0.64
    Þ
    0.64
    Activations Density 0.018%

    No Known Activations