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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. 20555
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    Explanations

    words related to solutions or solving problems

    oai_token-act-pair · gpt-3.5-turbo

    words related to solutions or substances in various contexts

    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
    SHIP
    -0.70
    shapeshifter
    -0.70
    REE
    -0.68
    è¦ļéĨĴ
    -0.67
     special
    -0.66
    WD
    -0.66
    RAFT
    -0.63
    ORN
    -0.63
     Highlander
    -0.61
    RAW
    -0.61
    POSITIVE LOGITS
    itaire
    1.23
    stice
    1.23
    vable
    1.18
    omon
    1.16
    ving
    1.06
    icit
    1.05
    itud
    1.03
    ved
    1.00
    ises
    0.99
    vers
    0.96
    Activations Density 0.017%

    No Known Activations