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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. 1250
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    Explanations

    references to publications, news sources, and dates

    oai_token-act-pair · gpt-3.5-turbo

    the presence of vertical bar characters in the text

    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
    rons
    -0.83
    ifts
    -0.83
    anski
    -0.78
    ippi
    -0.78
    orical
    -0.77
    anium
    -0.77
    ifting
    -0.77
    ory
    -0.77
    enance
    -0.76
    raints
    -0.75
    POSITIVE LOGITS
    cffff
    1.02
     |--
    0.93
    ··
    0.83
    âĢ¢âĢ¢
    0.73
    thel
    0.72
     +---
    0.71
    cffffcc
    0.71
     Posted
    0.70
    ////////////////////////////////
    0.68
    ————
    0.68
    Activations Density 0.015%

    No Known Activations