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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. 9-RES-JB
    11. 23637
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    Explanations

    phrases related to actions or decisions being done according to a specific set of rules or principles

    oai_token-act-pair · gpt-3.5-turbo

    references to guidelines or standards that dictate actions or beliefs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    affe
    -0.64
     blush
    -0.61
    disk
    -0.60
    alone
    -0.58
    umbo
    -0.58
    cule
    -0.58
    byn
    -0.57
    redo
    -0.57
    TG
    -0.57
     +++
    -0.56
    POSITIVE LOGITS
    ly
    0.74
    SOURCE
    0.70
    tains
    0.69
    soType
    0.65
     to
    0.65
    thumbnails
    0.64
    nect
    0.63
    ety
    0.62
     thereto
    0.61
     unto
    0.61
    Activations Density 0.054%

    No Known Activations