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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. 73
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    Explanations

    mentions of "ultra" or "ultras" as well as related words

    oai_token-act-pair · gpt-3.5-turbo

    terms related to extreme ideologies, particularly those associated with nationalism

    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
    heimer
    -0.79
     Dragonbound
    -0.78
     CLSID
    -0.73
    BOOK
    -0.71
    ortment
    -0.71
    ãĥ¼ãĥ«
    -0.70
     Decoder
    -0.69
    âķIJâķIJ
    -0.67
    forth
    -0.66
    fman
    -0.66
    POSITIVE LOGITS
     ultr
    1.04
    asonic
    1.02
    acet
    0.95
    antis
    0.86
    atical
    0.86
    ately
    0.84
    acy
    0.84
    agen
    0.80
    obiles
    0.79
    acons
    0.79
    Activations Density 0.014%

    No Known Activations