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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 5521
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    Explanations

    terms related to optimization or minimization

    oai_token-act-pair · gpt-3.5-turbo

    terms related to minimizing or maximizing various factors and efficiencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    manship
    -0.67
     previously
    -0.60
    hips
    -0.58
     dove
    -0.58
     allegiance
    -0.57
     hey
    -0.57
     principal
    -0.55
     originate
    -0.54
     chalk
    -0.53
     buck
    -0.53
    POSITIVE LOGITS
    ally
    1.63
    ising
    1.29
    istically
    1.27
    ise
    1.24
    izes
    1.23
    isation
    1.23
    ised
    1.21
    istic
    1.13
    illian
    1.11
    isations
    1.10
    Activations Density 0.059%

    No Known Activations