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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. 9-RES-JB
    11. 2626
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    Explanations

    ways in which things or people are lost or diminished

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of loss in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EEP
    -0.77
    SPONSORED
    -0.70
    Redditor
    -0.69
    WARN
    -0.66
    Statement
    -0.66
    DEBUG
    -0.64
    LO
    -0.63
    Initialized
    -0.60
    Higher
    -0.60
     solicitation
    -0.60
    POSITIVE LOGITS
     virginity
    1.14
     traction
    0.89
     credibility
    0.88
     momentum
    0.88
     sanity
    0.87
     limbs
    0.85
     innocence
    0.84
     limb
    0.81
     composure
    0.79
     foothold
    0.79
    Activations Density 0.189%

    No Known Activations