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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8666
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    Explanations

    imaginative scenarios or hypothetical situations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.72
    particularly
    -0.69
    iencies
    -0.68
    cific
    -0.68
    catentry
    -0.68
    Topic
    -0.66
    Comment
    -0.66
    çĦ
    -0.65
    CVE
    -0.65
    rouse
    -0.65
    POSITIVE LOGITS
     waking
    0.90
     yourself
    0.88
     how
    0.80
     imagine
    0.79
     Dragons
    0.78
     having
    0.77
     imagining
    0.76
     if
    0.75
     owning
    0.74
     yourselves
    0.72
    Activations Density 0.031%

    No Known Activations