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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. 406
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to technology and functionality

    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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    No Comments

    Negative Logits
    bara
    -0.65
    itas
    -0.57
    alion
    -0.56
    eur
    -0.56
     Feeling
    -0.53
    issance
    -0.52
    Ted
    -0.52
    ebus
    -0.51
    EMA
    -0.50
     Fortune
    -0.50
    POSITIVE LOGITS
     themselves
    0.97
     individually
    0.93
     collectively
    0.81
    selves
    0.75
     clustered
    0.72
     selves
    0.71
     counterparts
    0.70
     respective
    0.70
    geries
    0.67
     uniformly
    0.66
    Activations Density 1.102%

    No Known Activations