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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. 8-RES-JB
    11. 10834
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    Explanations

    temperature-related information, particularly in Celsius

    oai_token-act-pair · gpt-3.5-turbo

    aspects related to statistics and research findings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     proportional
    -0.59
    ificantly
    -0.58
    DERR
    -0.57
    confirmed
    -0.56
    TextColor
    -0.56
     Landing
    -0.55
    anta
    -0.55
    STDOUT
    -0.54
    cffffcc
    -0.54
    onal
    -0.53
    POSITIVE LOGITS
     continuum
    1.03
    osphere
    1.01
    anse
    0.90
    ospels
    0.90
     bandwagon
    0.83
     paradigm
    0.83
     portion
    0.81
     hypothesis
    0.80
     universe
    0.80
    agame
    0.79
    Activations Density 1.018%

    No Known Activations