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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. 7-RES-JB
    11. 13466
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    Explanations

    adjectives related to strength and stability

    oai_token-act-pair · gpt-3.5-turbo

    the concept of solidity and stability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Hop
    -0.82
    NetMessage
    -0.70
    clipse
    -0.69
     wrongly
    -0.67
    plugins
    -0.67
     wisely
    -0.66
    llor
    -0.64
     medd
    -0.64
     Peninsula
    -0.63
    erity
    -0.63
    POSITIVE LOGITS
    ified
    1.44
    ifying
    1.30
    GoldMagikarp
    1.24
    ifies
    1.14
    ification
    1.11
    arity
    1.04
    ify
    0.97
    ifier
    0.96
    ifiers
    0.94
    ity
    0.92
    Activations Density 0.024%

    No Known Activations