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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. 11893
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    INDEX
    Explanations

    sentences expressing pain, harm, or damage

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to causing harm or suffering

    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
    DragonMagazine
    -0.72
     helm
    -0.68
     Underground
    -0.63
    ̶
    -0.62
    idian
    -0.62
    aqu
    -0.62
     Fork
    -0.60
    iHUD
    -0.60
     pedigree
    -0.59
     requisite
    -0.58
    POSITIVE LOGITS
    ful
    1.24
     feelings
    1.12
    lessly
    1.01
    fully
    0.97
     morale
    0.84
     badly
    0.83
    onies
    0.81
    staking
    0.81
     tremendously
    0.77
     relations
    0.77
    Activations Density 0.102%

    No Known Activations