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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. 0-RES-JB
    6. 5280
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    Explanations

    verbs or adverbs indicating actions or states occurring after a specific event

    oai_token-act-pair · gpt-3.5-turbo

    terms related to events and their consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     £
    -1.92
     realise
    -1.79
     recognise
    -1.79
     organisation
    -1.72
     Whilst
    -1.70
     realised
    -1.69
     recognised
    -1.67
     colour
    -1.66
     maths
    -1.66
     organise
    -1.66
    POSITIVE LOGITS
    colored
    1.40
    avored
    1.30
    defense
    1.28
     publicized
    1.23
     behaviors
    1.22
     honoring
    1.22
     canceled
    1.20
    imize
    1.19
     favorably
    1.18
     victimized
    1.17
    Activations Density 0.166%

    No Known Activations