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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. 1-RES-JB
    11. 21169
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    Explanations

    words related to large quantities or sizes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to proportions and ratios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ired
    -0.80
    bies
    -0.78
    IRED
    -0.77
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.71
    vae
    -0.71
    pt
    -0.70
    cer
    -0.68
    bable
    -0.68
    GBT
    -0.68
    ber
    -0.68
    POSITIVE LOGITS
     proportions
    1.58
    xual
    0.88
     proport
    0.80
    ername
    0.80
    enance
    0.80
    ãĤ¼ãĤ¦ãĤ¹
    0.79
     ratios
    0.76
    mast
    0.75
    bender
    0.75
    terness
    0.75
    Activations Density 0.004%

    No Known Activations