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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. 7-RES-JB
    11. 14639
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    Explanations

    words related to names and locations

    oai_token-act-pair · gpt-3.5-turbo

    words and names related to love and relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĪĴ
    -1.00
     lapt
    -0.72
    omaly
    -0.70
    displayText
    -0.66
    cffffcc
    -0.64
     bluff
    -0.64
     pregn
    -0.64
     variance
    -0.63
     tremend
    -0.63
     looph
    -0.63
    POSITIVE LOGITS
    rences
    0.87
    enges
    0.75
    hesive
    0.72
    vre
    0.71
    ancial
    0.71
    tics
    0.70
    oscopic
    0.69
    doms
    0.69
    eworks
    0.66
    bear
    0.66
    Activations Density 0.097%

    No Known Activations