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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. 11352
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    Explanations

    instances where the word "interested" is used

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express interest

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ELF
    -0.72
    minus
    -0.71
     reluct
    -0.69
    PATH
    -0.68
    aurus
    -0.67
     istg
    -0.66
    uid
    -0.66
    soever
    -0.65
    CN
    -0.65
    lag
    -0.65
    POSITIVE LOGITS
     preserving
    0.97
     pursuing
    0.90
    clus
    0.90
     keeping
    0.89
     seeing
    0.83
     acquiring
    0.81
     maintaining
    0.81
     solving
    0.79
     helping
    0.78
     exploring
    0.77
    Activations Density 0.069%

    No Known Activations