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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. 3-RES-JB
    11. 363
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    Explanations

    words related to design and planning

    oai_token-act-pair · gpt-3.5-turbo

    references to the purpose or function of objects or systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Ezek
    -0.74
    rika
    -0.71
    dash
    -0.68
    Wal
    -0.68
    visor
    -0.67
     Isa
    -0.67
    SPONSORED
    -0.67
    Zone
    -0.66
    nikov
    -0.66
    Cash
    -0.65
    POSITIVE LOGITS
    urally
    0.98
    ĸļ
    0.87
     Parenthood
    0.85
    irection
    0.79
    ators
    0.78
     designing
    0.78
     recre
    0.76
    mble
    0.75
    yout
    0.75
     designed
    0.74
    Activations Density 0.025%

    No Known Activations