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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. 12-RES-JB
    11. 2915
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    Explanations

    scientific data and research-related content

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to chemical compounds and scientific data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     petty
    -0.65
     administr
    -0.64
     resent
    -0.61
     logos
    -0.60
     concess
    -0.60
     su
    -0.60
     vans
    -0.59
     explo
    -0.58
     spotlight
    -0.58
     unbeliev
    -0.58
    POSITIVE LOGITS
    1016
    1.33
    1007
    1.22
    1111
    1.21
    1001
    1.15
    1080
    1.14
    110
    1.06
    230
    1.06
    375
    1.05
    112
    1.01
    401
    1.00
    Activations Density 0.015%

    No Known Activations