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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. 4-RES-JB
    11. 7848
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    Explanations

    words related to conquest and victory

    oai_token-act-pair · gpt-3.5-turbo

    terms related to domination or control

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

    No Comments

    Negative Logits
    affer
    -0.79
    perature
    -0.74
     UCHIJ
    -0.73
    velength
    -0.72
     nodd
    -0.69
    endment
    -0.66
    idth
    -0.65
    uctor
    -0.65
    hift
    -0.65
    bestos
    -0.64
    POSITIVE LOGITS
    ãĤ¨ãĥ«
    0.90
    inelli
    0.86
    ors
    0.82
    iors
    0.78
     conquer
    0.76
     conquest
    0.75
     conquered
    0.75
    iour
    0.73
    ãĥ³ãĤ¸
    0.73
     Conquer
    0.72
    Activations Density 0.016%

    No Known Activations