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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. 7427
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    Explanations

    adjectives describing characteristics or qualities in a list with another adjective or specific context for comparison

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize strong emotions or qualities

    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
    ESE
    -0.80
     Parables
    -0.69
    worn
    -0.66
    ._
    -0.64
    ODY
    -0.64
    onse
    -0.63
    asma
    -0.60
     Levels
    -0.60
    vidia
    -0.59
    iers
    -0.59
    POSITIVE LOGITS
    etc
    0.85
    whatever
    0.75
     vind
    0.74
     etc
    0.71
     unstoppable
    0.71
    itarian
    0.68
    ingen
    0.66
     redistributed
    0.66
     unden
    0.66
     insurgent
    0.65
    Activations Density 0.117%

    No Known Activations