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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. 16937
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    Explanations

    pronouns and verbs related to discussing events or experiences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating collective actions or observations

    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
    urat
    -0.72
    è¦ļéĨĴ
    -0.67
    imb
    -0.65
     Yards
    -0.63
    ById
    -0.61
     prophes
    -0.61
    uda
    -0.61
    Fat
    -0.59
     informants
    -0.59
    effic
    -0.59
    POSITIVE LOGITS
    WE
    0.68
    SEA
    0.66
    ISE
    0.65
    OPLE
    0.65
     commons
    0.65
    cele
    0.63
    ursday
    0.63
     citiz
    0.62
    alk
    0.62
    ember
    0.61
    Activations Density 0.109%

    No Known Activations