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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. 6-RES-JB
    11. 4322
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    Explanations

    phrases indicating contrast or exceptions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the empty token or the end of the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Vaugh
    -0.64
     destro
    -0.62
    代
    -0.59
     marqu
    -0.58
     [|
    -0.57
    itaire
    -0.55
    VL
    -0.55
    ãĥĩãĤ£
    -0.54
    ãĤ©
    -0.53
     dime
    -0.51
    POSITIVE LOGITS
    zbollah
    0.64
    ihad
    0.55
     Priebus
    0.55
     Sina
    0.55
    hillary
    0.54
    tons
    0.54
    Mos
    0.53
    trump
    0.53
     Mess
    0.52
     Hillary
    0.52
    Activations Density 0.498%

    No Known Activations