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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. 6808
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    Explanations

    phrases related to processes or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to ongoing actions or processes

    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
     Flavoring
    -0.65
     cents
    -0.59
     rib
    -0.58
    irie
    -0.56
    zan
    -0.56
    resent
    -0.55
     Torn
    -0.55
     eyebrows
    -0.54
     millennium
    -0.54
     anchor
    -0.54
    POSITIVE LOGITS
    éŃĶ
    0.85
    æĦ
    0.85
     process
    0.82
    ions
    0.81
    Shape
    0.80
    aday
    0.78
    ional
    0.77
    IONS
    0.74
    代
    0.74
    ivity
    0.73
    Activations Density 0.023%

    No Known Activations