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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. 15339
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    INDEX
    Explanations

    mentions of the word "Kalashnikov"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Kalashnikov brand or its products

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.99
    ãģį
    -0.72
    IBLE
    -0.67
    åij
    -0.65
    çĶŁ
    -0.65
    Collection
    -0.65
     halftime
    -0.63
    ModLoader
    -0.62
    UCT
    -0.61
    æĸ¹
    -0.60
    POSITIVE LOGITS
    amaz
    1.23
    adesh
    1.20
    ibr
    1.03
    ita
    0.99
    inda
    0.98
    arov
    0.97
    endar
    0.97
    adin
    0.91
    iton
    0.91
    endars
    0.91
    Activations Density 0.012%

    No Known Activations