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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. 9-RES-JB
    6. 10896
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    Explanations

    phrases related to using something for a specific purpose or intention

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of "use" in various contexts

    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
     innocence
    -0.58
     apologizing
    -0.56
     apologies
    -0.54
     citation
    -0.53
     fumble
    -0.52
     ado
    -0.52
     Mile
    -0.52
     typo
    -0.51
    iatus
    -0.50
     forgetting
    -0.50
    POSITIVE LOGITS
     alongside
    0.98
     efficiently
    0.82
    uate
    0.75
    dress
    0.74
    estyles
    0.70
    fill
    0.69
     therein
    0.68
    OHN
    0.67
    itely
    0.67
    agine
    0.67
    Activations Density 0.349%

    No Known Activations