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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. 3-RES-JB
    11. 6170
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    Explanations

    terms related to physical or emotional distress and suffering, particularly traumatic experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to trauma and its effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amins
    -0.70
    bye
    -0.69
     Prospect
    -0.67
    ramer
    -0.67
    ebus
    -0.67
    eely
    -0.66
     ellipt
    -0.66
    ership
    -0.64
    ateur
    -0.64
    efficients
    -0.63
    POSITIVE LOGITS
     inflicted
    1.10
     trauma
    1.00
     incurred
    0.88
     traumat
    0.86
     suffered
    0.81
    umatic
    0.73
     redes
    0.73
     Survivors
    0.73
     ridden
    0.73
     flashbacks
    0.72
    Activations Density 0.009%

    No Known Activations