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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. 6-RES-JB
    11. 5121
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    INDEX
    Explanations

    proper nouns, possibly related to locations, entities, or names

    oai_token-act-pair · gpt-3.5-turbo

    unconventional characters or symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     agre
    -0.97
    etheless
    -0.96
    anwhile
    -0.84
     contrace
    -0.84
    abase
    -0.81
     skelet
    -0.79
    ftime
    -0.79
    ebus
    -0.78
     srf
    -0.77
    undai
    -0.76
    POSITIVE LOGITS
    å
    1.33
    å¸
    1.33
    çĶ°
    1.32
    ç
    1.30
    ãģ®å
    1.29
    é¾į
    1.29
    âĢİ
    1.26
    ãĤ
    1.26
    è
    1.26
    æ
    1.25
    Activations Density 0.058%

    No Known Activations