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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. 9-RES-JB
    11. 13229
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    Explanations

    phrases indicating potential for improvement

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "room" indicating space for improvement or capacity

    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
    cade
    -0.59
    ilet
    -0.58
    emis
    -0.58
     Sophia
    -0.58
     culmination
    -0.58
    76561
    -0.57
     Pastebin
    -0.56
     purs
    -0.56
     Laksh
    -0.56
    rique
    -0.55
    POSITIVE LOGITS
    ioned
    0.78
     divid
    0.78
    eous
    0.78
     for
    0.74
     gaps
    0.71
    ellen
    0.68
     space
    0.68
    ļéĨĴ
    0.67
    iful
    0.66
     spots
    0.66
    Activations Density 0.066%

    No Known Activations