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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. 1-RES-JB
    11. 6359
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    Explanations

    words related to ethical or strategic dilemmas

    oai_token-act-pair · gpt-3.5-turbo

    references to dilemmas or challenging situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erd
    -0.82
    ewitness
    -0.81
    heastern
    -0.78
    alls
    -0.74
    endar
    -0.73
    events
    -0.72
    otted
    -0.71
    ighters
    -0.70
    aud
    -0.69
    rollers
    -0.68
    POSITIVE LOGITS
    undrum
    1.30
     dilemma
    1.29
     predicament
    0.92
     paradox
    0.86
     dile
    0.84
     facing
    0.82
    naire
    0.81
    Reloaded
    0.75
     plag
    0.74
     Situation
    0.73
    Activations Density 0.012%

    No Known Activations