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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. 16429
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    Explanations

    names of individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    specific names or identifiers related to individuals or 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
     glim
    -0.75
    WARD
    -0.70
     Pax
    -0.69
     Scots
    -0.68
    ELF
    -0.66
     vig
    -0.64
    AME
    -0.64
     rapt
    -0.64
    Native
    -0.63
     BAT
    -0.63
    POSITIVE LOGITS
    Äĩ
    1.09
    Äį
    0.96
    ovic
    0.95
    ski
    0.89
    ÅĤ
    0.89
    oÄŁ
    0.84
    lege
    0.81
    kowski
    0.78
    olini
    0.78
    akov
    0.78
    Activations Density 0.004%

    No Known Activations