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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. 11-RES-JB
    11. 21817
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    Explanations

    references to weaknesses or vulnerabilities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to weakness or vulnerabilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flav
    -0.70
     Collider
    -0.67
     Andromeda
    -0.63
     McCann
    -0.61
    alist
    -0.60
     Sloan
    -0.60
    ICA
    -0.58
    illon
    -0.58
     Past
    -0.58
     Crowley
    -0.58
    POSITIVE LOGITS
    nesses
    1.33
    lings
    1.31
    ling
    1.19
    ens
    1.09
    ly
    1.00
    led
    0.91
    minded
    0.87
    ening
    0.86
    spot
    0.86
    poke
    0.85
    Activations Density 0.057%

    No Known Activations