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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. 3543
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to explosions or intense actions

    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
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    Negative Logits
    eele
    -0.80
    BIL
    -0.76
    RO
    -0.75
    Alert
    -0.75
    uga
    -0.74
    Zone
    -0.73
    Scroll
    -0.73
    iae
    -0.73
    Developer
    -0.72
    Management
    -0.70
    POSITIVE LOGITS
     bridges
    0.81
     havoc
    0.80
     fuse
    0.73
     fists
    0.67
     bricks
    0.66
     tyres
    0.65
     Brus
    0.64
     methamphetamine
    0.64
     blow
    0.64
     tires
    0.63
    Activations Density 0.077%

    No Known Activations