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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. 10-RES-JB
    11. 12167
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    Explanations

    phrases related to collecting and gathering information

    oai_token-act-pair · gpt-3.5-turbo

    connective phrases indicating relationships or additions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Buddh
    -0.76
     Bron
    -0.76
     Golf
    -0.72
     Polo
    -0.72
     HERO
    -0.70
     Nightmares
    -0.68
    hoe
    -0.67
     Ri
    -0.65
     Bos
    -0.64
     Cambod
    -0.63
    POSITIVE LOGITS
     distribute
    1.13
     dissemin
    1.09
     analyze
    1.04
    rogens
    1.03
     upload
    0.98
     decode
    0.98
     discard
    0.97
     analyse
    0.97
     transmit
    0.96
     manipulate
    0.96
    Activations Density 0.082%

    No Known Activations