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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. 9-RES-JB
    11. 13686
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    Explanations

    proper nouns related to people's names and locations

    oai_token-act-pair · gpt-3.5-turbo

    repeated patterns of specific letters and syllables

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.80
    interstitial
    -0.75
     partName
    -0.74
    CBC
    -0.72
    sbm
    -0.72
    merce
    -0.70
    è£ħ
    -0.68
     guiIcon
    -0.66
    BILL
    -0.66
    ËĪ
    -0.66
    POSITIVE LOGITS
    bia
    0.82
    phia
    0.76
    icably
    0.64
    rama
    0.62
    aste
    0.60
    risis
    0.60
    oland
    0.59
    ension
    0.59
    eret
    0.59
    iera
    0.58
    Activations Density 0.282%

    No Known Activations