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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. 15534
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    Explanations

    words related to computer security or individuals' names

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms related to individuals and entities

    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
    Not in Any Lists

    No Comments

    Negative Logits
     sidx
    -0.87
    cess
    -0.77
     displacement
    -0.70
     peel
    -0.67
    603
    -0.67
     Wilde
    -0.66
     Winc
    -0.66
     flared
    -0.66
     dessert
    -0.65
     cooker
    -0.64
    POSITIVE LOGITS
    sonian
    1.14
    ril
    0.91
    rov
    0.90
    oust
    0.89
    thouse
    0.88
    entimes
    0.88
    eering
    0.87
    rador
    0.84
    algia
    0.83
    ritis
    0.82
    Activations Density 0.015%

    No Known Activations