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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. 11-RES-JB
    11. 20698
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    Explanations

    specific physical locations

    oai_token-act-pair · gpt-3.5-turbo

    locations and addresses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    ÄŁ
    -0.71
     obliged
    -0.67
     confir
    -0.67
     fuelled
    -0.67
    fights
    -0.66
    HTTP
    -0.65
     behaviours
    -0.63
    xual
    -0.63
     traged
    -0.63
    etheless
    -0.62
    POSITIVE LOGITS
    rium
    1.25
     701
    1.23
     601
    1.20
     2100
    1.18
     505
    1.14
     2600
    1.13
     702
    1.12
     620
    1.11
     501
    1.11
     610
    1.10
    Activations Density 0.128%

    No Known Activations