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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. 7-RES-JB
    11. 14285
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    Explanations

    phrases related to understanding or comprehension

    oai_token-act-pair · gpt-3.5-turbo

    expressions of comprehension or understanding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eworthy
    -0.72
    izons
    -0.72
    chieve
    -0.70
    gins
    -0.68
    ifact
    -0.67
    ixt
    -0.66
    thood
    -0.64
    astics
    -0.62
    lets
    -0.61
    Fall
    -0.61
    POSITIVE LOGITS
    soType
    0.78
     assurances
    0.68
     sympath
    0.68
     MEP
    0.68
     acknowledging
    0.64
    poke
    0.62
     personally
    0.62
     sympathetic
    0.61
     agreeing
    0.60
     inconvenience
    0.60
    Activations Density 0.102%

    No Known Activations