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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. 0-RES-JB
    11. 5174
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    Explanations

    CVE identifiers

    oai_token-act-pair · gpt-3.5-turbo

    references to Common Vulnerability and Exposures (CVE) identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mole
    -0.79
     Aires
    -0.73
     intest
    -0.72
     Bett
    -0.71
     robot
    -0.70
    ogle
    -0.68
     farm
    -0.68
     Mills
    -0.68
     robots
    -0.66
    obo
    -0.65
    POSITIVE LOGITS
     CVE
    3.38
    CVE
    2.89
    £
    1.65
    Program
    1.18
    CV
    1.07
     CV
    1.05
    wo
    1.02
    href
    1.00
    usr
    0.97
    Sym
    0.86
    Activations Density 0.030%

    No Known Activations