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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. 10-RES-JB
    11. 5381
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical metadata or numerical identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     respectively
    -0.73
    ANCE
    -0.72
     IMAGES
    -0.69
    anwhile
    -0.69
    GREEN
    -0.69
    INGTON
    -0.67
    INA
    -0.67
     ANGEL
    -0.65
     STOP
    -0.64
    NET
    -0.61
    POSITIVE LOGITS
    mr
    0.88
    qq
    0.87
    yt
    0.83
    ecd
    0.82
    hd
    0.81
    dd
    0.80
    nv
    0.80
    jj
    0.80
    kl
    0.79
    mx
    0.79
    Activations Density 0.051%

    No Known Activations