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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. 10-RES-JB
    6. 18080
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    Explanations

    phrases related to plotting or plans

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a significant or central plot in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     salts
    -0.63
    administ
    -0.63
     Voc
    -0.62
     Rio
    -0.62
    agles
    -0.62
     administering
    -0.62
     administ
    -0.62
    ogy
    -0.61
     experien
    -0.60
     certific
    -0.59
    POSITIVE LOGITS
    ters
    1.19
    lines
    1.14
    line
    1.10
    ter
    1.06
     twists
    1.03
     twist
    0.99
     hatched
    0.92
     Twist
    0.91
    ting
    0.90
    sov
    0.90
    Activations Density 0.027%

    No Known Activations