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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. 9-RES-JB
    11. 3742
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    Explanations

    phrases related to creating, producing, running, changing, and adapting various things

    oai_token-act-pair · gpt-3.5-turbo

    references to high-caliber production and quality in creative works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     spotted
    -0.71
    amination
    -0.69
     overheard
    -0.67
     estimate
    -0.63
     pel
    -0.63
     Celsius
    -0.62
     inspecting
    -0.60
     readings
    -0.60
     Cue
    -0.60
     clearance
    -0.59
    POSITIVE LOGITS
     reinvent
    0.96
     greatness
    0.90
     evolve
    0.87
     itself
    0.85
     prosper
    0.84
    cellence
    0.83
     innovate
    0.83
    itect
    0.83
     stagn
    0.82
     evolving
    0.80
    Activations Density 0.775%

    No Known Activations