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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. 760
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    Explanations

    words related to destruction or annihilation

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of destruction or damage

    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
    ETF
    -0.86
    annis
    -0.73
    liner
    -0.71
    DragonMagazine
    -0.67
    çīĪ
    -0.67
    soType
    -0.66
    culation
    -0.63
    cius
    -0.63
    matic
    -0.63
    cul
    -0.62
    POSITIVE LOGITS
     havoc
    1.04
    roying
    0.91
    ãĥĩãĤ£
    0.73
     dism
    0.68
     Dresden
    0.67
     spoiled
    0.67
    ishing
    0.66
    ishment
    0.66
     wre
    0.66
     warheads
    0.65
    Activations Density 0.027%

    No Known Activations