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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. 0-RES-JB
    11. 1270
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    oai_token-act-pair · gpt-3.5-turbo

    references to links and easing phrases in documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âķIJ
    -0.79
    iens
    -0.72
     plaster
    -0.69
    oir
    -0.68
    ateurs
    -0.68
     Lauder
    -0.67
    unts
    -0.67
    lore
    -0.66
     starch
    -0.66
     Corpse
    -0.66
    POSITIVE LOGITS
    ](
    2.22
     easing
    2.04
     Ily
    1.54
     speeding
    1.46
    ahead
    1.22
    requ
    1.18
     Mig
    1.12
     overdue
    1.02
     Mandatory
    1.00
    Http
    0.96
    Activations Density 0.070%

    No Known Activations