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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. 8-RES-JB
    11. 5110
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    Explanations

    phrases related to competition and challenge

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant or noteworthy quantities and attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    SPONSORED
    -1.06
    enced
    -0.88
    yll
    -0.75
    ACTED
    -0.70
    fulness
    -0.69
    cott
    -0.68
    pps
    -0.68
    hent
    -0.67
    utra
    -0.67
    £ı
    -0.66
    POSITIVE LOGITS
     stink
    0.88
     chores
    0.82
     basics
    0.82
     defenses
    0.78
     seams
    0.78
     dough
    0.78
     curtains
    0.76
     fuss
    0.75
     defences
    0.74
     curtain
    0.73
    Activations Density 0.463%

    No Known Activations