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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. 8672
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    Explanations

    phrases related to the importance or impact of certain factors

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the significance or influence of various factors or elements within a context

    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
    arus
    -0.68
    atri
    -0.64
     vomit
    -0.63
    Lev
    -0.62
     missiles
    -0.62
    agle
    -0.61
     Unic
    -0.60
     Mush
    -0.60
    False
    -0.59
     Liver
    -0.58
    POSITIVE LOGITS
     helping
    0.85
     role
    0.82
     facilitating
    0.76
     influencing
    0.73
     determining
    0.73
     assisting
    0.73
     supporting
    0.72
    playing
    0.71
     mitigating
    0.71
     shaping
    0.68
    Activations Density 0.059%

    No Known Activations