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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. 365
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    Explanations

    words related to problems, concerns, and issues in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of issues and concerns

    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
    SN
    -0.80
    姫
    -0.79
    Js
    -0.74
    Õ
    -0.72
    MT
    -0.71
    NAS
    -0.70
    PATH
    -0.70
    Vel
    -0.70
    Cola
    -0.68
    uclear
    -0.66
    POSITIVE LOGITS
    afe
    0.87
     abound
    0.74
    hops
    0.72
    uggest
    0.72
     incurred
    0.71
    hooting
    0.70
     besie
    0.69
     gal
    0.69
     dictate
    0.68
     stemming
    0.67
    Activations Density 0.309%

    No Known Activations