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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 20474
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    INDEX
    Explanations

    mentions of specific names or topics in a given context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "mention" and its variations

    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
    quer
    -0.86
    sis
    -0.79
    emort
    -0.74
    kie
    -0.73
    ¯¯
    -0.70
    hematic
    -0.70
    zers
    -0.70
    Ñı
    -0.68
    ¯¯¯¯¯¯¯¯
    -0.68
    ?????-?????-
    -0.66
    POSITIVE LOGITS
     mentioning
    1.05
     mentions
    0.93
    lihood
    0.90
     mention
    0.90
     mentioned
    0.77
     names
    0.74
     prominently
    0.73
     aloud
    0.71
     therein
    0.67
     Kislyak
    0.65
    Activations Density 0.055%

    No Known Activations