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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. 11177
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    Explanations

    phrases related to endings or conclusions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to death and mortality

    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
    utical
    -0.73
    akeru
    -0.70
    姫
    -0.69
    soDeliveryDate
    -0.67
    eele
    -0.65
     ACTIONS
    -0.65
    urat
    -0.64
    ibl
    -0.64
    iversal
    -0.63
     Cosponsors
    -0.63
    POSITIVE LOGITS
     Dying
    0.79
     resurrection
    0.75
     Bones
    0.71
     syndrome
    0.69
     Syndrome
    0.69
     inquest
    0.68
     boredom
    0.67
     Slaughter
    0.65
     attrition
    0.65
     dehydration
    0.63
    Activations Density 0.285%

    No Known Activations