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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 19146
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    Explanations

    mentions of adopting or not adopting various strategies or ideas

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "adopt" and its variations

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

    No Comments

    Negative Logits
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.72
    OIL
    -0.70
    isal
    -0.65
    othal
    -0.63
    hole
    -0.62
    jah
    -0.61
    zers
    -0.61
    selves
    -0.60
    ibur
    -0.59
    Hour
    -0.58
    POSITIVE LOGITS
     adopt
    0.91
     adopted
    0.85
     adoption
    0.85
     adopting
    0.79
    ients
    0.71
     Viper
    0.71
    irtual
    0.70
    mits
    0.68
     Tackle
    0.67
    ctl
    0.64
    Activations Density 0.012%

    No Known Activations