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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. 9-RES-JB
    6. 21232
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    Explanations

    the word "true" and various generic terms related to content like "view", "article", "video", "click", "read", and "story"

    oai_token-act-pair · gpt-3.5-turbo

    token sequences representing various Pokémon species

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    #$
    -0.73
    ppard
    -0.68
     Overse
    -0.66
     Borders
    -0.65
     MacArthur
    -0.63
     accompl
    -0.59
     Sponge
    -0.58
     Kers
    -0.58
    stood
    -0.58
    minist
    -0.57
    POSITIVE LOGITS
     ][
    0.91
     ]
    0.87
    quickShipAvailable
    0.79
     guiActive
    0.78
     guiActiveUnfocused
    0.77
     ><
    0.77
    actionDate
    0.76
     ];
    0.73
    "]=>
    0.71
     )
    0.71
    Activations Density 0.152%

    No Known Activations