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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. 7541
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    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the concept of highlighting or underlining important points

    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
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    No Comments

    Negative Logits
     breat
    -0.69
    ingen
    -0.65
    akin
    -0.65
    vr
    -0.65
     breathe
    -0.64
    bleacher
    -0.64
    arro
    -0.61
    akeru
    -0.61
     juggling
    -0.60
    anos
    -0.60
    POSITIVE LOGITS
    mining
    0.71
     Mehran
    0.70
    fusc
    0.68
    amation
    0.68
    VERTISEMENT
    0.67
    achment
    0.66
    dden
    0.65
    Ö¼
    0.65
    ÃĽ
    0.64
     guise
    0.63
    Activations Density 0.321%

    No Known Activations