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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. 4-RES-JB
    11. 6277
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    Explanations

    phrases related to a sequence of events or actions

    oai_token-act-pair · gpt-3.5-turbo

    recurring phrases that refer to a sequence of events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    nai
    -0.80
    laws
    -0.72
    istan
    -0.72
    ablishment
    -0.70
    rella
    -0.69
    undai
    -0.68
     Klux
    -0.67
    estine
    -0.66
    zan
    -0.65
    angelo
    -0.65
    POSITIVE LOGITS
    encies
    0.77
     finale
    0.74
    ĸļ
    0.74
     series
    0.72
    series
    0.71
     iterations
    0.70
     installments
    0.69
     resistor
    0.68
     iteration
    0.65
     è£ıè¦ļéĨĴ
    0.63
    Activations Density 0.020%

    No Known Activations