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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. 6-RES-JB
    11. 24570
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    Explanations

    keywords related to control or authority, possibly in a technological context

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to restrictions or limitations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     resemb
    -0.60
     Coliseum
    -0.59
     Parish
    -0.59
     Dol
    -0.58
     Earl
    -0.57
    iterranean
    -0.57
     Metatron
    -0.57
     Brees
    -0.55
    sterdam
    -0.55
     Streets
    -0.55
    POSITIVE LOGITS
    strings
    0.69
    gered
    0.69
    lua
    0.64
    ãĥ¤
    0.63
    ãĤ«
    0.63
    ################################
    0.61
    assis
    0.60
    admin
    0.60
    eki
    0.60
    appropri
    0.60
    Activations Density 0.335%

    No Known Activations