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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. 7039
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to specific roles, actions, or identifications

    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
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.66
    HAEL
    -0.66
    ĸļ
    -0.66
    ONSORED
    -0.62
     Darling
    -0.61
    hyde
    -0.61
     Definitive
    -0.61
    姫
    -0.60
    ģĸ
    -0.59
    REDACTED
    -0.59
    POSITIVE LOGITS
    ag
    0.93
    acet
    0.90
    ars
    0.88
    anc
    0.86
    ab
    0.85
    aring
    0.84
    umb
    0.84
    acc
    0.84
    ogging
    0.84
    ax
    0.83
    Activations Density 0.405%

    No Known Activations