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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. 5673
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    INDEX
    Explanations

    mentions of cost-related issues or factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words related to costs or expenses

    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
    vironment
    -0.74
     Beard
    -0.74
    ullivan
    -0.70
     Nether
    -0.70
     Ashe
    -0.69
     Beaut
    -0.68
     DARK
    -0.66
     Ig
    -0.66
    gdala
    -0.64
     Poo
    -0.64
    POSITIVE LOGITS
    umed
    1.39
    liest
    1.37
    umers
    1.33
    lier
    1.19
     overrun
    1.16
    umer
    1.13
     incurred
    1.07
    uming
    1.06
    umes
    1.05
     savings
    1.05
    Activations Density 0.049%

    No Known Activations