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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. 4-RES-JB
    11. 1684
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    Explanations

    phrases related to arguments or discussions about a particular topic

    oai_token-act-pair · gpt-3.5-turbo

    words related to supporters and opponents in a debate or argument

    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
     creek
    -0.79
     gorge
    -0.74
     Beaver
    -0.67
     Moor
    -0.65
     geological
    -0.64
     peninsula
    -0.64
    illet
    -0.63
     Peninsula
    -0.63
     volcanic
    -0.62
     Loch
    -0.62
    POSITIVE LOGITS
    hesis
    0.92
    onents
    0.91
    Supporters
    0.85
    ervatives
    0.84
    heses
    0.81
     advocates
    0.79
    hetical
    0.78
     proponents
    0.78
     supporters
    0.76
    ocial
    0.75
    Activations Density 0.068%

    No Known Activations