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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. 1396
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    Explanations

    words related to political contexts or decision-making processes, particularly focusing on the concept of a 'majority'

    oai_token-act-pair · gpt-3.5-turbo

    elements indicating a description of various fictional creatures or Pokémon

    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
    bons
    -0.69
    åĤ
    -0.65
    nels
    -0.63
    uras
    -0.62
    Address
    -0.61
     Gutenberg
    -0.60
    æ©
    -0.60
    gy
    -0.60
    KC
    -0.60
    bits
    -0.59
    POSITIVE LOGITS
     opinion
    1.08
     shareholder
    0.83
    majority
    0.79
     stake
    0.77
     vote
    0.76
     opinions
    0.75
     opin
    0.74
     majority
    0.72
    aur
    0.72
     of
    0.71
    Activations Density 0.037%

    No Known Activations