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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. 9390
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms commonly used in a specific context, likely related to organizations or technical terms

    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
    taboola
    -0.73
    ãĥĸ
    -0.68
    alam
    -0.64
     Sakuya
    -0.64
     compan
    -0.63
     ru
    -0.61
    ãĤ¨ãĥ«
    -0.60
    â
    -0.60
    bern
    -0.60
     func
    -0.59
    POSITIVE LOGITS
    HY
    0.81
    ITION
    0.80
    KA
    0.79
    senal
    0.79
    HS
    0.78
    KI
    0.76
    ESH
    0.75
    NT
    0.75
    ZA
    0.74
    INESS
    0.74
    Activations Density 0.117%

    No Known Activations