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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. 10293
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    Explanations

    words related to negative actions or events

    oai_token-act-pair · gpt-3.5-turbo

    words related to various forms of discontent or disruption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    No Comments

    Negative Logits
     breeze
    -0.68
     Juliet
    -0.65
     hell
    -0.64
     Malk
    -0.63
     Hatch
    -0.57
     rush
    -0.57
     Cors
    -0.57
     Gina
    -0.57
     Prompt
    -0.57
     fetch
    -0.57
    POSITIVE LOGITS
    concert
    1.31
    quiet
    1.29
    array
    1.28
    incent
    1.27
    organized
    1.26
    assemb
    1.25
    orient
    1.24
    burse
    1.20
    interested
    1.20
    affected
    1.19
    Activations Density 0.013%

    No Known Activations