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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. 4-RES-JB
    11. 957
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    Explanations

    mentions of being susceptible or vulnerable to certain conditions or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating vulnerability or predisposition to negative outcomes

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

    No Comments

    Negative Logits
    tein
    -0.88
     CLSID
    -0.70
    OTOS
    -0.69
    mson
    -0.67
    flies
    -0.64
    ugu
    -0.64
     VIDEOS
    -0.63
    zos
    -0.63
     Fantastic
    -0.63
    arov
    -0.63
    POSITIVE LOGITS
    entimes
    1.02
    theless
    0.88
     prone
    0.85
    eus
    0.81
     overest
    0.74
    uced
    0.72
    interstitial
    0.71
    icter
    0.71
     confir
    0.69
     underestimate
    0.69
    Activations Density 0.019%

    No Known Activations