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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
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of the name "Hr" across various contexts

    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
     affordability
    -0.64
     Zac
    -0.60
     propri
    -0.60
     squash
    -0.59
     Canary
    -0.59
     Bean
    -0.58
     volcano
    -0.58
     innocence
    -0.58
     selection
    -0.57
     inclusion
    -0.57
    POSITIVE LOGITS
    hr
    4.46
    HR
    1.92
     hr
    1.88
    hm
    1.75
    hn
    1.75
    hl
    1.62
    h
    1.40
    hour
    1.34
    hu
    1.34
    hig
    1.32
    Activations Density 0.008%

    No Known Activations