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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. 4-RES-JB
    6. 5899
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    Explanations

    phrases indicating a solution, action, or method to address an issue

    oai_token-act-pair · gpt-3.5-turbo

    prepositions indicating agency or means in actions

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

    No Comments

    Negative Logits
    ational
    -0.77
    itto
    -0.68
    upon
    -0.64
    imental
    -0.64
    bian
    -0.64
    ertain
    -0.63
    kson
    -0.63
    asy
    -0.63
    >[
    -0.62
    ginx
    -0.62
    POSITIVE LOGITS
     virtue
    1.30
    laws
    1.10
    products
    0.97
     fiat
    0.85
    gone
    0.85
     proxy
    0.83
     leaps
    0.81
    akuya
    0.79
    catch
    0.79
     multiplying
    0.79
    Activations Density 0.164%

    No Known Activations