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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 2250
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    Explanations

    phrases related to actions or events that have already occurred

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the presence of prior actions or ongoing states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     weap
    -0.60
    GROUND
    -0.58
     Digest
    -0.58
     Library
    -0.54
     Vulkan
    -0.54
    SG
    -0.53
    OULD
    -0.52
    aq
    -0.52
    avier
    -0.52
    harm
    -0.52
    POSITIVE LOGITS
    been
    1.69
     been
    1.59
     gotten
    1.48
     undergone
    1.39
     begun
    1.33
     fallen
    1.28
     Been
    1.24
     gone
    1.23
     risen
    1.22
     flown
    1.20
    Activations Density 0.184%

    No Known Activations