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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. 5-RES-JB
    6. 337
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    Explanations

    mentions of actions or events related to people and significant situations, possibly in a journalistic context

    oai_token-act-pair · gpt-3.5-turbo

    key actions or themes related to storytelling in various media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thin
    -0.66
    factor
    -0.64
     syndrome
    -0.64
    soType
    -0.61
    itized
    -0.59
    itu
    -0.59
    lear
    -0.57
    pee
    -0.57
    ween
    -0.56
    Hat
    -0.55
    POSITIVE LOGITS
    unda
    0.66
     mainly
    0.61
     essentially
    0.61
     acronym
    0.61
     roughly
    0.60
    actionDate
    0.59
     approximately
    0.59
    atform
    0.59
     broadly
    0.57
    yrinth
    0.57
    Activations Density 0.519%

    No Known Activations