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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. 2-RES-JB
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    Explanations

    words related to ancient Rome and Roman culture

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Roman" and related historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    intosh
    -1.01
    mble
    -0.97
    */(
    -0.86
    raints
    -0.83
    NetMessage
    -0.81
    dq
    -0.80
    ramid
    -0.80
    trak
    -0.79
    ickr
    -0.79
    irlf
    -0.79
    POSITIVE LOGITS
     Roman
    1.05
     Catholic
    0.99
     Torch
    0.92
     Pagan
    0.89
     Reign
    0.88
    Roman
    0.86
     Abram
    0.84
     numer
    0.84
     Catholicism
    0.83
     Inquisition
    0.81
    Activations Density 0.005%

    No Known Activations