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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. 3-RES-JB
    11. 13334
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    Explanations

    phrases related to causing harm or destruction

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of erasing or eliminating

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anooga
    -0.97
    egal
    -0.79
     skelet
    -0.76
    ensical
    -0.70
    annis
    -0.70
    pheus
    -0.69
    fman
    -0.69
    ItemThumbnailImage
    -0.66
    ansas
    -0.64
    anchester
    -0.62
    POSITIVE LOGITS
     wiping
    1.00
     wipe
    1.00
     wipes
    0.94
     wiped
    0.87
     erase
    0.85
    uto
    0.72
    iencies
    0.72
    tle
    0.71
    ãĤ£
    0.70
    undo
    0.69
    Activations Density 0.007%

    No Known Activations